Changes
On March 22, 2024 at 5:52:18 PM +0800,
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Updated description of Rice Seedling Dataset 水稻秧苗辨識資料集 from
Datasets for rice seedling detection model training, validating, testing. ## Related Publications 1. **[A UAV Open Dataset of Rice Paddies for Deep Learning Practice](https://doi.org/10.3390/rs13071358)** The data descriptor was published on Remote Sensing, MDPI. (open access) 2. **[Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** An application of rice seedling detection using transfer learning was published on Remote Sensing, MDPI. (open access) ### MDPI and ACS Style 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. doi:10.3390/rs13071358 2. Tseng, H. H.; Yang, M. D.; Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 --- ## Contents 1. [Data Download Link](#1-data-download-link) 2. [Dataset of Rice Seedling Classification](#2-dataset-of-rice-seedling-classification) 3. [Dataset of Rice Seedling Detection](#3-dataset-of-rice-seedling-detection) ## 1. Basic Data Information ### 2018 Orthomosaic image  These three links are the orthomosaic image of paddy No.80, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in three consecutive growing stages in 2018. ### Expansion Orthomosaic image (2019-2020)  These 10 links are the orthomosaic image of paddy No.78, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in 2019 and 2020. --- ### Dataset of Rice Seedling Classification (Train-Val) **[RiceSeedlingClassification.tgz (uncompressed size 426MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** This file includes two folders: riceseedling and arableland. Train-val and test datasets are all included. --- ### Dataset of Rice Seedling Detection (Train-Val) **[RiceSeedlingDetection.tgz (uncompressed size 19.1MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** This is a PASCAL VOC format object-detection dataset, which includes two folders: JPEGImaegs and Annotations. --- ### Dataset of Detection Demonstration (Test) **[RiceSeedlingDemo.tgz (uncompressed size 48.5MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** This file contains 8 detection demo images and the corresponging PASCAL VOC xml format annotations. --- ### An overview of the region of different datasets  An overview of the field no. 80 (cyan bounding area) in TARI, Taichung. Image acquired on August 7, 2018. The green bounding area represents the area for training-validation dataset, and the red bounding area represents the subsets for object detection demonstration dataset. ## 2. Dataset of Rice Seedling Classification This dataset contains two classes: * `rice seedling` * `arable land` ### An overview of image dataset  ### The number of images used for training, validation, and testing in the rice seedling dataset  ## 3. Dataset of Rice Seedling Detection This dataset is used for object-detection model training and validation. * PASCAL VOC xml format annotation * 3 consecutive mission: Aug 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> * 8 subsets * 25 samples/subset * 600 samples total ### Examples of three growth stages of the rice seedling detection dataset  ## 4. Detection Demo Dataset This dataset is used for patch-based object-detection scenario. * 8 subsets * 8m x 8m region * 1527 x 1527 pixels * PASCAL VOC xml format annotation ### An overview of 8 detection demo images 
toDatasets for rice seedling detection model training, validating, testing. ## Related Publications 1. **[A UAV Open Dataset of Rice Paddies for Deep Learning Practice](https://doi.org/10.3390/rs13071358)** The data descriptor was published on Remote Sensing, MDPI. (open access) 2. **[Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** An application of rice seedling detection using transfer learning was published on Remote Sensing, MDPI. (open access) ### MDPI and ACS Style 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. doi:10.3390/rs13071358 2. Tseng, H. H.; Yang, M. D.; Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning. *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 --- ## Contents 1. [Data Download Link](#1-data-download-link) 2. [Dataset of Rice Seedling Classification](#2-dataset-of-rice-seedling-classification) 3. [Dataset of Rice Seedling Detection](#3-dataset-of-rice-seedling-detection) ## 1. Basic Data Information ### 2018 Orthomosaic image  These three links are the orthomosaic image of paddy No.80, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in three consecutive growing stages in 2018. ### Expansion Orthomosaic image (2019-2020)  These 10 links are the orthomosaic image of paddy No.78, TARI, which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images were acquired in 2019 and 2020. --- ### Dataset of Rice Seedling Classification (Train-Val) **[RiceSeedlingClassification.tgz (uncompressed size 426MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** This file includes two folders: riceseedling and arableland. Train-val and test datasets are all included. --- ### Dataset of Rice Seedling Detection (Train-Val) **[RiceSeedlingDetection.tgz (uncompressed size 19.1MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** This is a PASCAL VOC format object-detection dataset, which includes two folders: JPEGImaegs and Annotations. --- ### Dataset of Detection Demonstration (Test) **[RiceSeedlingDemo.tgz (uncompressed size 48.5MB)](https://aidata.nchu.edu.tw/smarter/dataset/smarter_07_5d4088_0_rice_20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** This file contains 8 detection demo images and the corresponging PASCAL VOC xml format annotations. --- ### An overview of the region of different datasets  An overview of the field no. 80 (cyan bounding area) in TARI, Taichung. Image acquired on August 7, 2018. The green bounding area represents the area for training-validation dataset, and the red bounding area represents the subsets for object detection demonstration dataset. ## 2. Dataset of Rice Seedling Classification This dataset contains two classes: * `rice seedling` * `arable land` ### An overview of image dataset  ### The number of images used for training, validation, and testing in the rice seedling dataset  ## 3. Dataset of Rice Seedling Detection This dataset is used for object-detection model training and validation. * PASCAL VOC xml format annotation * 3 consecutive mission: Aug 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> * 8 subsets * 25 samples/subset * 600 samples total ### Examples of three growth stages of the rice seedling detection dataset  ## 4. Detection Demo Dataset This dataset is used for patch-based object-detection scenario. * 8 subsets * 8m x 8m region * 1527 x 1527 pixels * PASCAL VOC xml format annotation ### An overview of 8 detection demo images 
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Uploaded a new file to resource RiceSeedlingDemo.tgz in Rice Seedling Dataset 水稻秧苗辨識資料集
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Uploaded a new file to resource RiceSeedlingDetection.tgz in Rice Seedling Dataset 水稻秧苗辨識資料集
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88 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 88 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
89 | \"serial\": \"7-3-1\", \"question\": | 89 | \"serial\": \"7-3-1\", \"question\": | ||
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92 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", | 92 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", | ||
93 | \"serial\": \"7-2\", \"question\": | 93 | \"serial\": \"7-2\", \"question\": | ||
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96 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 96 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
97 | \"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL | 97 | \"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL | ||
98 | \\u3001HOTL | 98 | \\u3001HOTL | ||
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101 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 101 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
102 | Attack and Security\", \"serial\": \"2-2\", \"question\": | 102 | Attack and Security\", \"serial\": \"2-2\", \"question\": | ||
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105 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 105 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
106 | \"serial\": \"2-7-1\", \"question\": | 106 | \"serial\": \"2-7-1\", \"question\": | ||
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109 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 109 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
110 | at large or Democracy\", \"serial\": \"6-8-1\", \"question\": | 110 | at large or Democracy\", \"serial\": \"6-8-1\", \"question\": | ||
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113 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 113 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
114 | \"serial\": \"2-13\", \"question\": | 114 | \"serial\": \"2-13\", \"question\": | ||
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117 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 117 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
118 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", | 118 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", | ||
119 | \"question\": | 119 | \"question\": | ||
120 | \\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 | 120 | \\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 | ||
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123 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", | 123 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", | ||
124 | \"serial\": \"3-2\", \"question\": | 124 | \"serial\": \"3-2\", \"question\": | ||
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127 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 127 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
128 | \"serial\": \"3-4\", \"question\": | 128 | \"serial\": \"3-4\", \"question\": | ||
129 | 84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", | 129 | 84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", | ||
130 | \"answer\": | 130 | \"answer\": | ||
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132 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 132 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
133 | \"serial\": \"4-1-1\", \"question\": | 133 | \"serial\": \"4-1-1\", \"question\": | ||
134 | 38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", | 134 | 38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", | ||
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136 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 136 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
137 | \"serial\": \"4-5\", \"question\": | 137 | \"serial\": \"4-5\", \"question\": | ||
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140 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 140 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
141 | Bias\", \"serial\": \"5-2\", \"question\": | 141 | Bias\", \"serial\": \"5-2\", \"question\": | ||
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144 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 144 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
145 | Autonomy\", \"serial\": \"1-1-1\", \"question\": | 145 | Autonomy\", \"serial\": \"1-1-1\", \"question\": | ||
146 | \\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 | 146 | \\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 | ||
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149 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 149 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
150 | Skills\", \"serial\": \"6-4\", \"question\": | 150 | Skills\", \"serial\": \"6-4\", \"question\": | ||
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153 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 153 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
154 | Well-being\", \"serial\": \"6-1-1\", \"question\": | 154 | Well-being\", \"serial\": \"6-1-1\", \"question\": | ||
155 | 5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", | 155 | 5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", | ||
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157 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 157 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
158 | Universal Design\", \"serial\": \"5-7\", \"question\": | 158 | Universal Design\", \"serial\": \"5-7\", \"question\": | ||
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161 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 161 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
162 | Attack and Security\", \"serial\": \"2-3\", \"question\": | 162 | Attack and Security\", \"serial\": \"2-3\", \"question\": | ||
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164 | \"answer\": | 164 | \"answer\": | ||
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166 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 166 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
167 | \"serial\": \"1-9\", \"question\": | 167 | \"serial\": \"1-9\", \"question\": | ||
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170 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 170 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
171 | \"serial\": \"7-4\", \"question\": | 171 | \"serial\": \"7-4\", \"question\": | ||
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174 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 174 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
175 | \"serial\": \"2-14\", \"question\": | 175 | \"serial\": \"2-14\", \"question\": | ||
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178 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 178 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
179 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", | 179 | Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", | ||
180 | \"question\": | 180 | \"question\": | ||
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182 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 182 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
183 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 183 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
184 | Skills\", \"serial\": \"6-5\", \"question\": | 184 | Skills\", \"serial\": \"6-5\", \"question\": | ||
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186 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 186 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
187 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 187 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
188 | \"serial\": \"3-4-1\", \"question\": | 188 | \"serial\": \"3-4-1\", \"question\": | ||
189 | 0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", | 189 | 0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", | ||
190 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 190 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
191 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 191 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
192 | \"serial\": \"4-1-2\", \"question\": | 192 | \"serial\": \"4-1-2\", \"question\": | ||
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194 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 194 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
195 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 195 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
196 | Universal Design\", \"serial\": \"5-7-1\", \"question\": | 196 | Universal Design\", \"serial\": \"5-7-1\", \"question\": | ||
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198 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 198 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
199 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 199 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
200 | \"serial\": \"4-5-1\", \"question\": | 200 | \"serial\": \"4-5-1\", \"question\": | ||
201 | 28\\u8005\\u6e9d\\u901aAI\\u7cfb\\u7d71\\u7684\\u597d\\u8655\\uff1f\", | 201 | 28\\u8005\\u6e9d\\u901aAI\\u7cfb\\u7d71\\u7684\\u597d\\u8655\\uff1f\", | ||
202 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 202 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
203 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 203 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
204 | Autonomy\", \"serial\": \"1-1-2\", \"question\": | 204 | Autonomy\", \"serial\": \"1-1-2\", \"question\": | ||
205 | 2f\\u6e90\\u81eaAI\\u6f14\\u7b97\\u6cd5\\u7684\\u6c7a\\u7b56\\uff1f\", | 205 | 2f\\u6e90\\u81eaAI\\u6f14\\u7b97\\u6cd5\\u7684\\u6c7a\\u7b56\\uff1f\", | ||
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207 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 207 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
208 | Well-being\", \"serial\": \"6-2\", \"question\": | 208 | Well-being\", \"serial\": \"6-2\", \"question\": | ||
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211 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 211 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
212 | Bias\", \"serial\": \"5-2-1\", \"question\": | 212 | Bias\", \"serial\": \"5-2-1\", \"question\": | ||
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215 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 215 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
216 | \"serial\": \"2-7-2\", \"question\": | 216 | \"serial\": \"2-7-2\", \"question\": | ||
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219 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 219 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
220 | at large or Democracy\", \"serial\": \"6-8-2\", \"question\": | 220 | at large or Democracy\", \"serial\": \"6-8-2\", \"question\": | ||
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223 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 223 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
224 | \"serial\": \"1-10\", \"question\": | 224 | \"serial\": \"1-10\", \"question\": | ||
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226 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 226 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
227 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 227 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
228 | Autonomy\", \"serial\": \"1-2\", \"question\": | 228 | Autonomy\", \"serial\": \"1-2\", \"question\": | ||
229 | 07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", | 229 | 07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", | ||
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231 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | 231 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental | ||
232 | Well-being\", \"serial\": \"6-2-1\", \"question\": | 232 | Well-being\", \"serial\": \"6-2-1\", \"question\": | ||
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235 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 235 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
236 | \"serial\": \"3-4-2\", \"question\": | 236 | \"serial\": \"3-4-2\", \"question\": | ||
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239 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 239 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
240 | \"serial\": \"4-5-2\", \"question\": | 240 | \"serial\": \"4-5-2\", \"question\": | ||
241 | 176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", | 241 | 176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", | ||
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243 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 243 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
244 | \"serial\": \"4-1-3\", \"question\": | 244 | \"serial\": \"4-1-3\", \"question\": | ||
245 | 7d71\\u505a\\u51fa\\u8a72\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | 245 | 7d71\\u505a\\u51fa\\u8a72\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | ||
246 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 246 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
247 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 247 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
248 | Bias\", \"serial\": \"5-2-2\", \"question\": | 248 | Bias\", \"serial\": \"5-2-2\", \"question\": | ||
249 | 3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", | 249 | 3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", | ||
250 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 250 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
251 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 251 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
252 | \"serial\": \"2-8\", \"question\": | 252 | \"serial\": \"2-8\", \"question\": | ||
253 | 883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", | 253 | 883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", | ||
254 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 254 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
255 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 255 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
256 | \"serial\": \"7-4-1\", \"question\": | 256 | \"serial\": \"7-4-1\", \"question\": | ||
257 | 28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", | 257 | 28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", | ||
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259 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 259 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
260 | \"serial\": \"2-15\", \"question\": | 260 | \"serial\": \"2-15\", \"question\": | ||
261 | a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", | 261 | a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", | ||
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263 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 263 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
264 | Attack and Security\", \"serial\": \"2-3-1\", \"question\": | 264 | Attack and Security\", \"serial\": \"2-3-1\", \"question\": | ||
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266 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 266 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
267 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | 267 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society | ||
268 | at large or Democracy\", \"serial\": \"6-8-3\", \"question\": | 268 | at large or Democracy\", \"serial\": \"6-8-3\", \"question\": | ||
269 | 4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", | 269 | 4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", | ||
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271 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 271 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
272 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", | 272 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", | ||
273 | \"question\": | 273 | \"question\": | ||
274 | 8207\\u518d\\u73fe\\u6027\\u7684\\u4e0d\\u540c\\u9762\\u5411\\uff1f\", | 274 | 8207\\u518d\\u73fe\\u6027\\u7684\\u4e0d\\u540c\\u9762\\u5411\\uff1f\", | ||
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276 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 276 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
277 | Universal Design\", \"serial\": \"5-7-2\", \"question\": | 277 | Universal Design\", \"serial\": \"5-7-2\", \"question\": | ||
278 | 4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", | 278 | 4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", | ||
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280 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 280 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
281 | Skills\", \"serial\": \"6-5-1\", \"question\": | 281 | Skills\", \"serial\": \"6-5-1\", \"question\": | ||
282 | 5177\\u6709\\u8207\\u4e0d\\u5177\\u6709\\u7684\\u80fd\\u529b\\uff1f\", | 282 | 5177\\u6709\\u8207\\u4e0d\\u5177\\u6709\\u7684\\u80fd\\u529b\\uff1f\", | ||
283 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 283 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
284 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 284 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
285 | Skills\", \"serial\": \"6-6\", \"question\": | 285 | Skills\", \"serial\": \"6-6\", \"question\": | ||
286 | 2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk | 286 | 2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk | ||
287 | of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", | 287 | of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", | ||
288 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 288 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
289 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 289 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
290 | Universal Design\", \"serial\": \"5-8\", \"question\": | 290 | Universal Design\", \"serial\": \"5-8\", \"question\": | ||
291 | ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal | 291 | ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal | ||
292 | Design principles)\\uff1f\", \"answer\": | 292 | Design principles)\\uff1f\", \"answer\": | ||
293 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 293 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
294 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | 294 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", | ||
295 | \"serial\": \"1-11\", \"question\": | 295 | \"serial\": \"1-11\", \"question\": | ||
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298 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 298 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
299 | \"serial\": \"3-5\", \"question\": | 299 | \"serial\": \"3-5\", \"question\": | ||
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301 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 301 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
302 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 302 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
303 | \"serial\": \"4-1-4\", \"question\": | 303 | \"serial\": \"4-1-4\", \"question\": | ||
304 | 55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", | 304 | 55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", | ||
305 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 305 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
306 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 306 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
307 | Autonomy\", \"serial\": \"1-2-1\", \"question\": | 307 | Autonomy\", \"serial\": \"1-2-1\", \"question\": | ||
308 | d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", | 308 | d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", | ||
309 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 309 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
310 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 310 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
311 | Bias\", \"serial\": \"5-2-3\", \"question\": | 311 | Bias\", \"serial\": \"5-2-3\", \"question\": | ||
312 | ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", | 312 | ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", | ||
313 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 313 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
314 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | 314 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", | ||
315 | \"serial\": \"4-5-3\", \"question\": | 315 | \"serial\": \"4-5-3\", \"question\": | ||
316 | 57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", | 316 | 57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", | ||
317 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 317 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
318 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 318 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
319 | \"serial\": \"2-8-1\", \"question\": | 319 | \"serial\": \"2-8-1\", \"question\": | ||
320 | 6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", | 320 | 6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", | ||
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322 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | 322 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", | ||
323 | \"serial\": \"2-16\", \"question\": | 323 | \"serial\": \"2-16\", \"question\": | ||
324 | 40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", | 324 | 40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", | ||
325 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 325 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
326 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 326 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
327 | Attack and Security\", \"serial\": \"2-3-2\", \"question\": | 327 | Attack and Security\", \"serial\": \"2-3-2\", \"question\": | ||
328 | 28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", | 328 | 28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", | ||
329 | \"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data | 329 | \"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data | ||
330 | poisoning, | 330 | poisoning, | ||
331 | 3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model | 331 | 3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model | ||
332 | evasion, | 332 | evasion, | ||
333 | 6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model | 333 | 6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model | ||
334 | inversion, | 334 | inversion, | ||
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336 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 336 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
337 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", | 337 | Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", | ||
338 | \"question\": | 338 | \"question\": | ||
339 | 8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", | 339 | 8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", | ||
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341 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 341 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
342 | \"serial\": \"7-5\", \"question\": | 342 | \"serial\": \"7-5\", \"question\": | ||
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344 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 344 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
345 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 345 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
346 | Autonomy\", \"serial\": \"1-3\", \"question\": | 346 | Autonomy\", \"serial\": \"1-3\", \"question\": | ||
347 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | 347 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | ||
348 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 348 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
349 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 349 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
350 | Skills\", \"serial\": \"6-6-1\", \"question\": | 350 | Skills\", \"serial\": \"6-6-1\", \"question\": | ||
351 | 7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", | 351 | 7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", | ||
352 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 352 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
353 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | 353 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", | ||
354 | \"serial\": \"3-6\", \"question\": | 354 | \"serial\": \"3-6\", \"question\": | ||
355 | \u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 | 355 | \u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 | ||
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358 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 358 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
359 | Attack and Security\", \"serial\": \"2-4\", \"question\": | 359 | Attack and Security\", \"serial\": \"2-4\", \"question\": | ||
360 | 7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", | 360 | 7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", | ||
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362 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 362 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
363 | Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", | 363 | Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", | ||
364 | \"question\": | 364 | \"question\": | ||
365 | u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI | 365 | u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI | ||
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368 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 368 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
369 | \"serial\": \"7-6\", \"question\": | 369 | \"serial\": \"7-6\", \"question\": | ||
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371 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 371 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
372 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 372 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
373 | \"serial\": \"2-8-2\", \"question\": | 373 | \"serial\": \"2-8-2\", \"question\": | ||
374 | 83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", | 374 | 83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", | ||
375 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 375 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
376 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 376 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
377 | Bias\", \"serial\": \"5-2-4\", \"question\": | 377 | Bias\", \"serial\": \"5-2-4\", \"question\": | ||
378 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", | 378 | 9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", | ||
379 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 379 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
380 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | 380 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", | ||
381 | \"serial\": \"4-1-5\", \"question\": | 381 | \"serial\": \"4-1-5\", \"question\": | ||
382 | 04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | 382 | 04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", | ||
383 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 383 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
384 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 384 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
385 | Universal Design\", \"serial\": \"5-9\", \"question\": | 385 | Universal Design\", \"serial\": \"5-9\", \"question\": | ||
386 | 3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", | 386 | 3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", | ||
387 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 387 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
388 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 388 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
389 | Attack and Security\", \"serial\": \"2-5\", \"question\": | 389 | Attack and Security\", \"serial\": \"2-5\", \"question\": | ||
390 | \\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a | 390 | \\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a | ||
391 | / \\u6e2c\\u8a66\\uff1f\", \"answer\": | 391 | / \\u6e2c\\u8a66\\uff1f\", \"answer\": | ||
392 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 392 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
393 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 393 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
394 | \"serial\": \"2-9\", \"question\": | 394 | \"serial\": \"2-9\", \"question\": | ||
395 | 53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", | 395 | 53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", | ||
396 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 396 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
397 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 397 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
398 | Autonomy\", \"serial\": \"1-3-1\", \"question\": | 398 | Autonomy\", \"serial\": \"1-3-1\", \"question\": | ||
399 | 42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", | 399 | 42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", | ||
400 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 400 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
401 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 401 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
402 | Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", | 402 | Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", | ||
403 | \"question\": | 403 | \"question\": | ||
404 | 679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", | 404 | 679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", | ||
405 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 405 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
406 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 406 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
407 | Bias\", \"serial\": \"5-3\", \"question\": | 407 | Bias\", \"serial\": \"5-3\", \"question\": | ||
408 | 6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", | 408 | 6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", | ||
409 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 409 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
410 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 410 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
411 | Universal Design\", \"serial\": \"5-9-1\", \"question\": | 411 | Universal Design\", \"serial\": \"5-9-1\", \"question\": | ||
412 | 005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", | 412 | 005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", | ||
413 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 413 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
414 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 414 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
415 | Skills\", \"serial\": \"6-7\", \"question\": | 415 | Skills\", \"serial\": \"6-7\", \"question\": | ||
416 | 16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", | 416 | 16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", | ||
417 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 417 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
418 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 418 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
419 | \"serial\": \"7-6-1\", \"question\": | 419 | \"serial\": \"7-6-1\", \"question\": | ||
420 | f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" | 420 | f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" | ||
421 | decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": | 421 | decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": | ||
422 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 422 | \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
423 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 423 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
424 | \"serial\": \"7-6-2\", \"question\": | 424 | \"serial\": \"7-6-2\", \"question\": | ||
425 | 4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", | 425 | 4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", | ||
426 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 426 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
427 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 427 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
428 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", | 428 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", | ||
429 | \"question\": | 429 | \"question\": | ||
430 | 7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", | 430 | 7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", | ||
431 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 431 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
432 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | 432 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and | ||
433 | Skills\", \"serial\": \"6-7-1\", \"question\": | 433 | Skills\", \"serial\": \"6-7-1\", \"question\": | ||
434 | 63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", | 434 | 63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", | ||
435 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 435 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
436 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 436 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
437 | Autonomy\", \"serial\": \"1-4\", \"question\": | 437 | Autonomy\", \"serial\": \"1-4\", \"question\": | ||
438 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | 438 | 800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", | ||
439 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 439 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
440 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 440 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
441 | Attack and Security\", \"serial\": \"2-6\", \"question\": | 441 | Attack and Security\", \"serial\": \"2-6\", \"question\": | ||
442 | 5b89\\u5168\\u64d4\\u4fdd\\u53ca\\u66f4\\u65b0\\u671f\\u9593\\uff1f\", | 442 | 5b89\\u5168\\u64d4\\u4fdd\\u53ca\\u66f4\\u65b0\\u671f\\u9593\\uff1f\", | ||
443 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 443 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
444 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 444 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
445 | \"serial\": \"2-9-1\", \"question\": | 445 | \"serial\": \"2-9-1\", \"question\": | ||
446 | 5b9a\\u6027\\u8207\\u53ef\\u4fe1\\u8cf4\\u6027\\u6c34\\u5e73\\uff1f\", | 446 | 5b9a\\u6027\\u8207\\u53ef\\u4fe1\\u8cf4\\u6027\\u6c34\\u5e73\\uff1f\", | ||
447 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 447 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
448 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 448 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
449 | Universal Design\", \"serial\": \"5-9-2\", \"question\": | 449 | Universal Design\", \"serial\": \"5-9-2\", \"question\": | ||
450 | f8b\\u5730\\u5f71\\u97ff\\uff1a\\u904e\\u5ea6\\u5730\\u5f71\\u97ff)\", | 450 | f8b\\u5730\\u5f71\\u97ff\\uff1a\\u904e\\u5ea6\\u5730\\u5f71\\u97ff)\", | ||
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452 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 452 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
453 | Bias\", \"serial\": \"5-4\", \"question\": | 453 | Bias\", \"serial\": \"5-4\", \"question\": | ||
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456 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | 456 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to | ||
457 | Attack and Security\", \"serial\": \"2-6-1\", \"question\": | 457 | Attack and Security\", \"serial\": \"2-6-1\", \"question\": | ||
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459 | \"answer\": | 459 | \"answer\": | ||
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461 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 461 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
462 | Bias\", \"serial\": \"5-4-1\", \"question\": | 462 | Bias\", \"serial\": \"5-4-1\", \"question\": | ||
463 | 78ba\\u7684\\u6e9d\\u901a\\u6b65\\u9a5f\\u53ca\\u65b9\\u6cd5\\uff1f\", | 463 | 78ba\\u7684\\u6e9d\\u901a\\u6b65\\u9a5f\\u53ca\\u65b9\\u6cd5\\uff1f\", | ||
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465 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | 465 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, | ||
466 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", | 466 | Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", | ||
467 | \"question\": | 467 | \"question\": | ||
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470 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 470 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
471 | \"serial\": \"2-10\", \"question\": | 471 | \"serial\": \"2-10\", \"question\": | ||
472 | df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated | 472 | df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated | ||
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475 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 475 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
476 | Autonomy\", \"serial\": \"1-4-1\", \"question\": | 476 | Autonomy\", \"serial\": \"1-4-1\", \"question\": | ||
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479 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 479 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
480 | \"serial\": \"7-6-3\", \"question\": | 480 | \"serial\": \"7-6-3\", \"question\": | ||
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483 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | 483 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and | ||
484 | Universal Design\", \"serial\": \"5-9-3\", \"question\": | 484 | Universal Design\", \"serial\": \"5-9-3\", \"question\": | ||
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487 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 487 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
488 | Bias\", \"serial\": \"5-4-2\", \"question\": | 488 | Bias\", \"serial\": \"5-4-2\", \"question\": | ||
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491 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 491 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
492 | Autonomy\", \"serial\": \"1-5\", \"question\": | 492 | Autonomy\", \"serial\": \"1-5\", \"question\": | ||
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495 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 495 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
496 | \"serial\": \"7-7\", \"question\": | 496 | \"serial\": \"7-7\", \"question\": | ||
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499 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | 499 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", | ||
500 | \"serial\": \"2-11\", \"question\": | 500 | \"serial\": \"2-11\", \"question\": | ||
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503 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 503 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
504 | \"serial\": \"7-7-1\", \"question\": | 504 | \"serial\": \"7-7-1\", \"question\": | ||
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507 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 507 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
508 | Autonomy\", \"serial\": \"1-6\", \"question\": | 508 | Autonomy\", \"serial\": \"1-6\", \"question\": | ||
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511 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 511 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
512 | Bias\", \"serial\": \"5-5\", \"question\": | 512 | Bias\", \"serial\": \"5-5\", \"question\": | ||
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514 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 514 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
515 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 515 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
516 | Autonomy\", \"serial\": \"1-6-1\", \"question\": | 516 | Autonomy\", \"serial\": \"1-6-1\", \"question\": | ||
517 | bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", | 517 | bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", | ||
518 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 518 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
519 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 519 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
520 | Bias\", \"serial\": \"5-5-1\", \"question\": | 520 | Bias\", \"serial\": \"5-5-1\", \"question\": | ||
521 | 616e\\u904e\\u5176\\u4ed6\\u516c\\u5e73\\u7684\\u5b9a\\u7fa9\\uff1f\", | 521 | 616e\\u904e\\u5176\\u4ed6\\u516c\\u5e73\\u7684\\u5b9a\\u7fa9\\uff1f\", | ||
522 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 522 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
523 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | 523 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", | ||
524 | \"serial\": \"7-8\", \"question\": | 524 | \"serial\": \"7-8\", \"question\": | ||
525 | 5373\\u8003\\u616e\\u5efa\\u7acb\\u88dc\\u6551\\u6a5f\\u5236\\uff1f\", | 525 | 5373\\u8003\\u616e\\u5efa\\u7acb\\u88dc\\u6551\\u6a5f\\u5236\\uff1f\", | ||
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527 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 527 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
528 | Bias\", \"serial\": \"5-5-2\", \"question\": | 528 | Bias\", \"serial\": \"5-5-2\", \"question\": | ||
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530 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 530 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
531 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 531 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
532 | Autonomy\", \"serial\": \"1-6-2\", \"question\": | 532 | Autonomy\", \"serial\": \"1-6-2\", \"question\": | ||
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535 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 535 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
536 | Bias\", \"serial\": \"5-5-3\", \"question\": | 536 | Bias\", \"serial\": \"5-5-3\", \"question\": | ||
537 | 8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", | 537 | 8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", | ||
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539 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | 539 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and | ||
540 | Autonomy\", \"serial\": \"1-6-3\", \"question\": | 540 | Autonomy\", \"serial\": \"1-6-3\", \"question\": | ||
541 | 4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", | 541 | 4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", | ||
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543 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | 543 | \"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair | ||
544 | Bias\", \"serial\": \"5-5-4\", \"question\": | 544 | Bias\", \"serial\": \"5-5-4\", \"question\": | ||
545 | ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", | 545 | ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", | ||
546 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | 546 | \"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", | ||
547 | \"pkg_answer\": \"\", \"note\": \"\"}]", | 547 | \"pkg_answer\": \"\", \"note\": \"\"}]", | ||
548 | "annotationinfos1": "[]", | 548 | "annotationinfos1": "[]", | ||
549 | "annotationinfos2": "[]", | 549 | "annotationinfos2": "[]", | ||
550 | "author": "\u66fe\u4fe1\u9d3b", | 550 | "author": "\u66fe\u4fe1\u9d3b", | ||
551 | "author_email": "d108062001@mail.nchu.edu.tw", | 551 | "author_email": "d108062001@mail.nchu.edu.tw", | ||
552 | "caseinfos": "[]", | 552 | "caseinfos": "[]", | ||
553 | "coauthors": "[]", | 553 | "coauthors": "[]", | ||
554 | "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2", | 554 | "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2", | ||
555 | "deidinfos": "[]", | 555 | "deidinfos": "[]", | ||
556 | "fairfiles": "[{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01M\", | 556 | "fairfiles": "[{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01M\", | ||
557 | \"eval\": | 557 | \"eval\": | ||
558 | 7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", | 558 | 7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", | ||
559 | \"eval_desc\": | 559 | \"eval_desc\": | ||
560 | 5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", | 560 | 5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", | ||
561 | \"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ | 561 | \"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ | ||
562 | \\u4ef6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", | 562 | \\u4ef6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", | ||
563 | \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": | 563 | \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": | ||
564 | e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\"}, | 564 | e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\"}, | ||
565 | {\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01M\", \"eval\": | 565 | {\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01M\", \"eval\": | ||
566 | 5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", | 566 | 5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", | ||
567 | \"eval_desc\": | 567 | \"eval_desc\": | ||
568 | 5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", | 568 | 5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", | ||
569 | \"eval_prompt\": | 569 | \"eval_prompt\": | ||
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910 | "maintainer_email": "d108062001@mail.nchu.edu.tw", | 910 | "maintainer_email": "d108062001@mail.nchu.edu.tw", | ||
911 | "metadata_created": "2024-03-18T16:26:34.695788", | 911 | "metadata_created": "2024-03-18T16:26:34.695788", | ||
n | 912 | "metadata_modified": "2024-03-22T09:51:21.147851", | n | 912 | "metadata_modified": "2024-03-22T09:52:18.029265", |
913 | "name": "smarter_07_5d4088_0_rice_20240318_objc_detect", | 913 | "name": "smarter_07_5d4088_0_rice_20240318_objc_detect", | ||
914 | "nchu_checkbox_dataset_annotation_method_2": "1", | 914 | "nchu_checkbox_dataset_annotation_method_2": "1", | ||
915 | "nchu_checkbox_dataset_remark_method_2": "1", | 915 | "nchu_checkbox_dataset_remark_method_2": "1", | ||
916 | "nchu_checkbox_dataset_remark_method_3": "1", | 916 | "nchu_checkbox_dataset_remark_method_3": "1", | ||
917 | "nchu_ddl_dataset_project": [ | 917 | "nchu_ddl_dataset_project": [ | ||
918 | "\u667a\u6167\u8fb2\u696d" | 918 | "\u667a\u6167\u8fb2\u696d" | ||
919 | ], | 919 | ], | ||
920 | "nchu_ddl_dataset_status": [ | 920 | "nchu_ddl_dataset_status": [ | ||
921 | "\u5df2\u5be9\u6838" | 921 | "\u5df2\u5be9\u6838" | ||
922 | ], | 922 | ], | ||
923 | "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']", | 923 | "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']", | ||
924 | "nchu_ddl_dataset_type": [ | 924 | "nchu_ddl_dataset_type": [ | ||
925 | "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b" | 925 | "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b" | ||
926 | ], | 926 | ], | ||
927 | "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f", | 927 | "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f", | ||
928 | "nchu_radio_dataset_annotation_progress": "1", | 928 | "nchu_radio_dataset_annotation_progress": "1", | ||
929 | "nchu_radio_dataset_connect_otherdb": "2", | 929 | "nchu_radio_dataset_connect_otherdb": "2", | ||
930 | "nchu_radio_dataset_deid_method": "1", | 930 | "nchu_radio_dataset_deid_method": "1", | ||
931 | "nchu_radio_dataset_is_aimodelset": "0", | 931 | "nchu_radio_dataset_is_aimodelset": "0", | ||
932 | "nchu_texarea_dataset_abstract": "The UAV obtained image dataset for | 932 | "nchu_texarea_dataset_abstract": "The UAV obtained image dataset for | ||
933 | rice seedling detection.", | 933 | rice seedling detection.", | ||
934 | "nchu_texarea_dataset_other": | 934 | "nchu_texarea_dataset_other": | ||
935 | c6\u3001\u570b\u5bb6\u5b89\u5168\u53ca\u6838\u5fc3\u79d1\u6280\u3002", | 935 | c6\u3001\u570b\u5bb6\u5b89\u5168\u53ca\u6838\u5fc3\u79d1\u6280\u3002", | ||
936 | "nchu_texarea_dataset_other_note1": "", | 936 | "nchu_texarea_dataset_other_note1": "", | ||
937 | "nchu_texarea_dataset_purpose": "Train, evaluate and test the model | 937 | "nchu_texarea_dataset_purpose": "Train, evaluate and test the model | ||
938 | for the rice seedling detection applications.", | 938 | for the rice seedling detection applications.", | ||
939 | "nchu_texarea_dataset_usage": "1. Rice seedling image classification | 939 | "nchu_texarea_dataset_usage": "1. Rice seedling image classification | ||
940 | (single seedling in one image) model train, eval, test. \r\n2. Rice | 940 | (single seedling in one image) model train, eval, test. \r\n2. Rice | ||
941 | seedling object detection (multiple seedlings in one image) model | 941 | seedling object detection (multiple seedlings in one image) model | ||
942 | train, eval, test. The annotation follows PASCAL VOS format.", | 942 | train, eval, test. The annotation follows PASCAL VOS format.", | ||
943 | "nchu_texarea_dataset_value": "Manual annotations with domain | 943 | "nchu_texarea_dataset_value": "Manual annotations with domain | ||
944 | expertises' knowledge, patience and love. lol", | 944 | expertises' knowledge, patience and love. lol", | ||
945 | "nchu_text_dataset_annotation_format": "PASCAL VOC", | 945 | "nchu_text_dataset_annotation_format": "PASCAL VOC", | ||
946 | "nchu_text_dataset_annotation_method_2_note": "rectangle", | 946 | "nchu_text_dataset_annotation_method_2_note": "rectangle", | ||
947 | "nchu_text_dataset_annotation_method_3_note": "", | 947 | "nchu_text_dataset_annotation_method_3_note": "", | ||
948 | "nchu_text_dataset_annotation_progress_1_note": "600", | 948 | "nchu_text_dataset_annotation_progress_1_note": "600", | ||
949 | "nchu_text_dataset_annotation_progress_2_note": "", | 949 | "nchu_text_dataset_annotation_progress_2_note": "", | ||
950 | "nchu_text_dataset_annotation_progress_3_note": "", | 950 | "nchu_text_dataset_annotation_progress_3_note": "", | ||
951 | "nchu_text_dataset_authorize_file": "", | 951 | "nchu_text_dataset_authorize_file": "", | ||
952 | "nchu_text_dataset_capacity": "6 GB", | 952 | "nchu_text_dataset_capacity": "6 GB", | ||
953 | "nchu_text_dataset_casenum": "3", | 953 | "nchu_text_dataset_casenum": "3", | ||
954 | "nchu_text_dataset_contact": "Cloud Tseng \u66fe\u4fe1\u9d3b", | 954 | "nchu_text_dataset_contact": "Cloud Tseng \u66fe\u4fe1\u9d3b", | ||
955 | "nchu_text_dataset_deid_method_2_note": "", | 955 | "nchu_text_dataset_deid_method_2_note": "", | ||
956 | "nchu_text_dataset_format": "jpeg for image, xml for PASCAL VOC | 956 | "nchu_text_dataset_format": "jpeg for image, xml for PASCAL VOC | ||
957 | format annotation, compressed with tar-gzip (.tgz) format", | 957 | format annotation, compressed with tar-gzip (.tgz) format", | ||
958 | "nchu_text_dataset_itemnum": "200", | 958 | "nchu_text_dataset_itemnum": "200", | ||
959 | "nchu_text_dataset_legitimate_basis_1_note": "", | 959 | "nchu_text_dataset_legitimate_basis_1_note": "", | ||
960 | "nchu_text_dataset_legitimate_basis_2_note": "", | 960 | "nchu_text_dataset_legitimate_basis_2_note": "", | ||
961 | "nchu_text_dataset_legitimate_basis_3_note": "", | 961 | "nchu_text_dataset_legitimate_basis_3_note": "", | ||
962 | "nchu_text_dataset_name_4code": "rice", | 962 | "nchu_text_dataset_name_4code": "rice", | ||
963 | "nchu_text_dataset_name_4serial": "objc", | 963 | "nchu_text_dataset_name_4serial": "objc", | ||
964 | "nchu_text_dataset_name_6serial": "detect", | 964 | "nchu_text_dataset_name_6serial": "detect", | ||
965 | "nchu_text_dataset_name_id": "5d4088", | 965 | "nchu_text_dataset_name_id": "5d4088", | ||
966 | "nchu_text_dataset_name_org_eng_shortname": "07", | 966 | "nchu_text_dataset_name_org_eng_shortname": "07", | ||
967 | "nchu_text_dataset_name_project": "smarter", | 967 | "nchu_text_dataset_name_project": "smarter", | ||
968 | "nchu_text_dataset_name_yyyymmdd": "20240318", | 968 | "nchu_text_dataset_name_yyyymmdd": "20240318", | ||
969 | "nchu_text_dataset_other_note": "", | 969 | "nchu_text_dataset_other_note": "", | ||
970 | "nchu_text_dataset_period": "2018-08-07 to 2020-08-25", | 970 | "nchu_text_dataset_period": "2018-08-07 to 2020-08-25", | ||
971 | "nchu_text_dataset_remark_method_4_note": "", | 971 | "nchu_text_dataset_remark_method_4_note": "", | ||
972 | "nchu_text_dataset_remark_tool": "labelimg", | 972 | "nchu_text_dataset_remark_tool": "labelimg", | ||
973 | "nchu_text_dataset_serial": "20240318234622", | 973 | "nchu_text_dataset_serial": "20240318234622", | ||
974 | "nchu_text_dataset_source": "self", | 974 | "nchu_text_dataset_source": "self", | ||
975 | "nchu_text_dataset_tag": "Rice seedling are annotated with rectangle | 975 | "nchu_text_dataset_tag": "Rice seedling are annotated with rectangle | ||
976 | bounding boxes.", | 976 | bounding boxes.", | ||
977 | "nchu_text_dataset_type": "RGB images with PASCAL VOC format | 977 | "nchu_text_dataset_type": "RGB images with PASCAL VOC format | ||
978 | annotation ", | 978 | annotation ", | ||
979 | "nchu_textarea_dataset_annotation_mapping": "", | 979 | "nchu_textarea_dataset_annotation_mapping": "", | ||
980 | "nchu_textarea_dataset_approve_note": "ok", | 980 | "nchu_textarea_dataset_approve_note": "ok", | ||
981 | "notes": "Datasets for rice seedling detection model training, | 981 | "notes": "Datasets for rice seedling detection model training, | ||
982 | validating, testing. \r\n\r\n## Related Publications \r\n 1. **[A | 982 | validating, testing. \r\n\r\n## Related Publications \r\n 1. **[A | ||
983 | UAV Open Dataset of Rice Paddies for Deep Learning | 983 | UAV Open Dataset of Rice Paddies for Deep Learning | ||
984 | Practice](https://doi.org/10.3390/rs13071358)** \r\nThe data | 984 | Practice](https://doi.org/10.3390/rs13071358)** \r\nThe data | ||
985 | descriptor was published on Remote Sensing, MDPI. (open access) | 985 | descriptor was published on Remote Sensing, MDPI. (open access) | ||
986 | \r\n\r\n 2. **[Rice Seedling Detection in UAV Images Using Transfer | 986 | \r\n\r\n 2. **[Rice Seedling Detection in UAV Images Using Transfer | ||
987 | Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** | 987 | Learning and Machine Learning](https://doi.org/10.3390/rs14122837)** | ||
988 | \r\nAn application of rice seedling detection using transfer learning | 988 | \r\nAn application of rice seedling detection using transfer learning | ||
989 | was published on Remote Sensing, MDPI. (open access) \r\n\r\n### MDPI | 989 | was published on Remote Sensing, MDPI. (open access) \r\n\r\n### MDPI | ||
990 | and ACS Style \r\n 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, | 990 | and ACS Style \r\n 1. Yang, M. D.; Tseng, H. H.; Hsu, Y. C.; Yang, | ||
991 | C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for | 991 | C. Y.; Lai, M. H.; Wu, D. H. A UAV Open Dataset of Rice Paddies for | ||
992 | Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. | 992 | Deep Learning Practice. *Remote Sens.* **2021**, 13, 1358. | ||
993 | doi:10.3390/rs13071358 \r\n 2. Tseng, H. H.; Yang, M. D.; | 993 | doi:10.3390/rs13071358 \r\n 2. Tseng, H. H.; Yang, M. D.; | ||
994 | Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling | 994 | Saminathan, R.; Hsu, Y. C.; Yang, C. Y.; Wu, D. H. Rice Seedling | ||
995 | Detection in UAV Images Using Transfer Learning and Machine Learning. | 995 | Detection in UAV Images Using Transfer Learning and Machine Learning. | ||
996 | *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 \r\n\r\n--- | 996 | *Remote Sens.* **2022**, 14, 2837. doi:10.3390/rs14122837 \r\n\r\n--- | ||
997 | \r\n\r\n## Contents\r\n 1. [Data Download | 997 | \r\n\r\n## Contents\r\n 1. [Data Download | ||
998 | Link](#1-data-download-link)\r\n 2. [Dataset of Rice Seedling | 998 | Link](#1-data-download-link)\r\n 2. [Dataset of Rice Seedling | ||
999 | Classification](#2-dataset-of-rice-seedling-classification)\r\n 3. | 999 | Classification](#2-dataset-of-rice-seedling-classification)\r\n 3. | ||
1000 | [Dataset of Rice Seedling | 1000 | [Dataset of Rice Seedling | ||
1001 | Detection](#3-dataset-of-rice-seedling-detection)\r\n\r\n## 1. Basic | 1001 | Detection](#3-dataset-of-rice-seedling-detection)\r\n\r\n## 1. Basic | ||
1002 | Data Information\r\n### 2018 Orthomosaic | 1002 | Data Information\r\n### 2018 Orthomosaic | ||
1003 | load/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) | 1003 | load/RiceSeedlingDataset/README_img/Orthomosaic_Train-Val_Dataset.png) | ||
1004 | \r\nThese three links are the orthomosaic image of paddy No.80, TARI, | 1004 | \r\nThese three links are the orthomosaic image of paddy No.80, TARI, | ||
1005 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | 1005 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | ||
1006 | were acquired in three consecutive growing stages in 2018. | 1006 | were acquired in three consecutive growing stages in 2018. | ||
1007 | \r\n\r\n### Expansion Orthomosaic image | 1007 | \r\n\r\n### Expansion Orthomosaic image | ||
1008 | 7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) | 1008 | 7c69c2/upload/RiceSeedlingDataset/README_img/Orthomosaic_Extended.png) | ||
1009 | \r\nThese 10 links are the orthomosaic image of paddy No.78, TARI, | 1009 | \r\nThese 10 links are the orthomosaic image of paddy No.78, TARI, | ||
1010 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | 1010 | which were in TWD97 / TM2 zone 121 (EPSG:3826) projection. The images | ||
1011 | were acquired in 2019 and 2020. \r\n\r\n--- \r\n \r\n### Dataset of | 1011 | were acquired in 2019 and 2020. \r\n\r\n--- \r\n \r\n### Dataset of | ||
1012 | Rice Seedling Classification (Train-Val) | 1012 | Rice Seedling Classification (Train-Val) | ||
1013 | \r\n**[RiceSeedlingClassification.tgz (uncompressed size | 1013 | \r\n**[RiceSeedlingClassification.tgz (uncompressed size | ||
1014 | _20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** | 1014 | _20240318_objc_detect/resource/236c53c2-43e3-4f6d-9a17-33ecf8b6dc37)** | ||
1015 | \r\nThis file includes two folders: riceseedling and arableland. | 1015 | \r\nThis file includes two folders: riceseedling and arableland. | ||
1016 | Train-val and test datasets are all included.\r\n---\r\n### Dataset of | 1016 | Train-val and test datasets are all included.\r\n---\r\n### Dataset of | ||
1017 | Rice Seedling Detection (Train-Val)\r\n**[RiceSeedlingDetection.tgz | 1017 | Rice Seedling Detection (Train-Val)\r\n**[RiceSeedlingDetection.tgz | ||
1018 | (uncompressed size | 1018 | (uncompressed size | ||
1019 | _20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** | 1019 | _20240318_objc_detect/resource/e3f00e59-2bcc-4380-92eb-a6f147eeb753)** | ||
1020 | \r\nThis is a PASCAL VOC format object-detection dataset, which | 1020 | \r\nThis is a PASCAL VOC format object-detection dataset, which | ||
1021 | includes two folders: JPEGImaegs and Annotations.\r\n---\r\n### | 1021 | includes two folders: JPEGImaegs and Annotations.\r\n---\r\n### | ||
1022 | Dataset of Detection Demonstration (Test)\r\n**[RiceSeedlingDemo.tgz | 1022 | Dataset of Detection Demonstration (Test)\r\n**[RiceSeedlingDemo.tgz | ||
1023 | (uncompressed size | 1023 | (uncompressed size | ||
1024 | _20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** | 1024 | _20240318_objc_detect/resource/3d5616d6-869d-437a-abdd-c070db7ed029)** | ||
1025 | \r\nThis file contains 8 detection demo images and the corresponging | 1025 | \r\nThis file contains 8 detection demo images and the corresponging | ||
1026 | PASCAL VOC xml format annotations. \r\n---\r\n### An overview of the | 1026 | PASCAL VOC xml format annotations. \r\n---\r\n### An overview of the | ||
1027 | region of different datasets \r\n![An overview of image | 1027 | region of different datasets \r\n![An overview of image | ||
1028 | 69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) | 1028 | 69c2/upload/RiceSeedlingDataset/README_img/Datasets_Area_Overview.png) | ||
1029 | \r\nAn overview of the field no. 80 (cyan bounding area) in TARI, | 1029 | \r\nAn overview of the field no. 80 (cyan bounding area) in TARI, | ||
1030 | Taichung. Image acquired on August 7, 2018. The green bounding area | 1030 | Taichung. Image acquired on August 7, 2018. The green bounding area | ||
1031 | represents the area for training-validation dataset, and the red | 1031 | represents the area for training-validation dataset, and the red | ||
1032 | bounding area represents the subsets for object detection | 1032 | bounding area represents the subsets for object detection | ||
1033 | demonstration dataset. \r\n\r\n## 2. Dataset of Rice Seedling | 1033 | demonstration dataset. \r\n\r\n## 2. Dataset of Rice Seedling | ||
1034 | Classification\r\n This dataset contains two classes: \r\n\r\n* | 1034 | Classification\r\n This dataset contains two classes: \r\n\r\n* | ||
1035 | `rice seedling` \r\n* `arable land` \r\n\r\n### An overview of | 1035 | `rice seedling` \r\n* `arable land` \r\n\r\n### An overview of | ||
1036 | image dataset \r\n![An overview of image | 1036 | image dataset \r\n![An overview of image | ||
1037 | a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) | 1037 | a-9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/dataset.png) | ||
1038 | \r\n\r\n### The number of images used for training, validation, and | 1038 | \r\n\r\n### The number of images used for training, validation, and | ||
1039 | testing in the rice seedling dataset \r\n![Samples of classification | 1039 | testing in the rice seedling dataset \r\n![Samples of classification | ||
1040 | c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) | 1040 | c7c69c2/upload/RiceSeedlingDataset/README_img/Samples_of_datasets.png) | ||
1041 | \r\n\r\n## 3. Dataset of Rice Seedling Detection\r\nThis dataset is | 1041 | \r\n\r\n## 3. Dataset of Rice Seedling Detection\r\nThis dataset is | ||
1042 | used for object-detection model training and validation. \r\n\r\n* | 1042 | used for object-detection model training and validation. \r\n\r\n* | ||
1043 | PASCAL VOC xml format annotation \r\n* 3 consecutive mission: Aug | 1043 | PASCAL VOC xml format annotation \r\n* 3 consecutive mission: Aug | ||
1044 | 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> \r\n* 8 | 1044 | 7<sup>th</sup>, Aug 14<sup>th</sup> and Aug 23<sup>rd</sup> \r\n* 8 | ||
1045 | subsets \r\n* 25 samples/subset \r\n* 600 samples total | 1045 | subsets \r\n* 25 samples/subset \r\n* 600 samples total | ||
1046 | \r\n\r\n### Examples of three growth stages of the rice seedling | 1046 | \r\n\r\n### Examples of three growth stages of the rice seedling | ||
1047 | detection dataset \r\n![Examples of detection | 1047 | detection dataset \r\n![Examples of detection | ||
1048 | a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) | 1048 | a8c7c69c2/upload/RiceSeedlingDataset/README_img/Detection_Dataset.png) | ||
1049 | \r\n\r\n## 4. Detection Demo Dataset \r\nThis dataset is used for | 1049 | \r\n\r\n## 4. Detection Demo Dataset \r\nThis dataset is used for | ||
t | 1050 | patch-based object-detection scenario. \r\n* 8 subsets \r\n* 8m | t | 1050 | patch-based object-detection scenario. \r\n\r\n* 8 subsets \r\n* |
1051 | x 8m region \r\n* 1527 x 1527 pixels \r\n* PASCAL VOC xml format | 1051 | 8m x 8m region \r\n* 1527 x 1527 pixels \r\n* PASCAL VOC xml | ||
1052 | annotation \r\n\r\n### An overview of 8 detection demo images | 1052 | format annotation \r\n\r\n### An overview of 8 detection demo images | ||
1053 | \r\n![An overview of 8 detection demo | 1053 | \r\n![An overview of 8 detection demo | ||
1054 | -9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png) | 1054 | -9838-772a8c7c69c2/upload/RiceSeedlingDataset/README_img/DemoClip.png) | ||
1055 | \r\n\r\n", | 1055 | \r\n\r\n", | ||
1056 | "num_resources": 17, | 1056 | "num_resources": 17, | ||
1057 | "num_tags": 9, | 1057 | "num_tags": 9, | ||
1058 | "organization": { | 1058 | "organization": { | ||
1059 | "approval_status": "approved", | 1059 | "approval_status": "approved", | ||
1060 | "created": "2022-05-19T11:34:42.143017", | 1060 | "created": "2022-05-19T11:34:42.143017", | ||
1061 | "description": "## \u8a08\u756b\u4ecb\u7d39 | 1061 | "description": "## \u8a08\u756b\u4ecb\u7d39 | ||
1062 | 08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI | 1062 | 08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI | ||
1063 | 5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 | 1063 | 5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 | ||
1064 | IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI | 1064 | IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI | ||
1065 | 8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002 | 1065 | 8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002 | ||
1066 | \r\n\r\n### \u6548\u76ca \r\n 1. | 1066 | \r\n\r\n### \u6548\u76ca \r\n 1. | ||
1067 | 70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002 | 1067 | 70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002 | ||
1068 | \r\n 2. | 1068 | \r\n 2. | ||
1069 | 9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002 | 1069 | 9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002 | ||
1070 | \r\n 3. | 1070 | \r\n 3. | ||
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1534 | "vocabulary_id": null | 1534 | "vocabulary_id": null | ||
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1549 | }, | 1549 | }, | ||
1550 | { | 1550 | { | ||
1551 | "display_name": "rice seedling", | 1551 | "display_name": "rice seedling", | ||
1552 | "id": "3822bc3c-d56b-44eb-8a87-3ce84bacbc2c", | 1552 | "id": "3822bc3c-d56b-44eb-8a87-3ce84bacbc2c", | ||
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1555 | "vocabulary_id": null | 1555 | "vocabulary_id": null | ||
1556 | } | 1556 | } | ||
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1558 | "title": "Rice Seedling Dataset | 1558 | "title": "Rice Seedling Dataset | ||
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1560 | "toolinfos": "[{\"type\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", | 1560 | "toolinfos": "[{\"type\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", | ||
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1565 | } | 1565 | } |