變更
On 2024年10月9日 上午11:15:58 [+0800], 孟競傑:
-
Changed value of field
nchu_texarea_dataset_value
to高效管理:自動化個體辨識系統能大幅減少人力成本,提升牧場管理效率。 提升健康監控:透過追蹤個別牛隻的行為,可以及早發現異常情況,並快速介入處理,提升牛隻的健康與生產力。 精準養殖:資料集為精準養殖技術的研發提供了重要基礎,從而優化資源分配、提高生產效率,並降低環境影響。 此資料集對於未來智慧畜牧業的發展具有深遠意義,為實現無人化監控及管理提供了關鍵數據支持。
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_text_dataset_legitimate_basis_1_note
to1036
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_text_dataset_deid_method_2_note
to此資料集已遵循本專案共同制定方式
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_text_dataset_casenum
to7頭牛(以編號區別個體),共148張影像,1036個ROI
in 俯視影像個體辨識_資料集 -
Changed value of field
annotationinfos1
to[{"field1": "\u6a19\u8a3b\u8cc7\u6599", "field2": "", "field3": ""}]
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_texarea_dataset_abstract
to該資料集記錄了來自荷蘭農場的牛隻俯視影像,用於開發個體辨識系統。影像資料由固定魚眼攝影設備拍攝,包含了不同環境下牛隻的姿勢、活動及周邊環境特徵。該資料集具有高分辨率,支持牛隻在不同背景、光線下的辨識。
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_texarea_dataset_usage
to個體識別:利用電腦視覺和機器學習演算法,實現自動化、準確的牛隻個體識別。 行為監控:追蹤牛隻的日常行為,例如進食、休息和活動,以了解其健康狀況。 牧場管理:透過數位化管理技術,輔助牧場主監控牛群的移動路徑和活動範圍。
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_texarea_dataset_purpose
to資料集的主要目的是通過俯視影像進行牛隻個體辨識,解決傳統耳標識別技術的局限性,並提高牧場管理的自動化和數位化程度。此外,該技術將有助於監控牛隻健康狀況及行為模式。
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_texarea_dataset_other_note1
to無
in 俯視影像個體辨識_資料集 -
Changed value of field
nchu_texarea_dataset_other
to本資料集內容及AI技術均不涉及國家機密、國家安全及核心科技
in 俯視影像個體辨識_資料集
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61 | "nchu_text_dataset_name_4serial": "0000", | 966 | "nchu_text_dataset_name_4serial": "0000", | ||
62 | "nchu_text_dataset_name_6serial": "08", | 967 | "nchu_text_dataset_name_6serial": "08", | ||
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139 | "name": "Identify", | 1046 | "name": "Identify", | ||
140 | "state": "active", | 1047 | "state": "active", | ||
141 | "vocabulary_id": null | 1048 | "vocabulary_id": null | ||
142 | }, | 1049 | }, | ||
143 | { | 1050 | { | ||
144 | "display_name": "cow", | 1051 | "display_name": "cow", | ||
145 | "id": "c309b867-3a46-42c1-a816-529dbd7c2948", | 1052 | "id": "c309b867-3a46-42c1-a816-529dbd7c2948", | ||
146 | "name": "cow", | 1053 | "name": "cow", | ||
147 | "state": "active", | 1054 | "state": "active", | ||
148 | "vocabulary_id": null | 1055 | "vocabulary_id": null | ||
149 | }, | 1056 | }, | ||
150 | { | 1057 | { | ||
151 | "display_name": "look down", | 1058 | "display_name": "look down", | ||
152 | "id": "afb4f731-df80-4ed6-b120-8aa03cbe5d2b", | 1059 | "id": "afb4f731-df80-4ed6-b120-8aa03cbe5d2b", | ||
153 | "name": "look down", | 1060 | "name": "look down", | ||
154 | "state": "active", | 1061 | "state": "active", | ||
155 | "vocabulary_id": null | 1062 | "vocabulary_id": null | ||
156 | } | 1063 | } | ||
157 | ], | 1064 | ], | ||
158 | "title": | 1065 | "title": | ||
159 | "\u4fef\u8996\u5f71\u50cf\u500b\u9ad4\u8fa8\u8b58_\u8cc7\u6599\u96c6", | 1066 | "\u4fef\u8996\u5f71\u50cf\u500b\u9ad4\u8fa8\u8b58_\u8cc7\u6599\u96c6", | ||
160 | "toolinfos": "[]", | 1067 | "toolinfos": "[]", | ||
161 | "type": "dataset", | 1068 | "type": "dataset", | ||
162 | "url": null, | 1069 | "url": null, | ||
163 | "version": null | 1070 | "version": null | ||
164 | } | 1071 | } |