ComView/datasets/valid/labels/3383011008094_mp4-77_jpg.rf.b506ce5b90f82c2253f8b6b7b0437282.txt

0 0.2668269230769231 0.3137019230769231 0.1346153846153846 0.078125
0 0.5697115384615384 0.3173076923076923 0.13221153846153846 0.06971153846153846
0 0.8822115384615384 0.3088942307692308 0.11658653846153846 0.0673076923076923
1 0.5709134615384616 0.4651442307692308 0.1141826923076923 0.06129807692307692
1 0.8846153846153846 0.46274038461538464 0.11658653846153846 0.06610576923076923
0 0.9038461538461539 0.609375 0.109375 0.056490384615384616
1 0.3125 0.47115384615384615 0.04927884615384615 0.056490384615384616
feat(datasets): 添加新的训练数据标签 - 在 datasets/train/labels 目录下新增了多个标签文件 - 文件命名格式为：视频ID-帧序号.jpg.rf.哈希值.txt -标签内容包括物体类别和位置信息，用于训练目标检测模型 2025-05-29 11:59:57 +00:00			`0 0.2668269230769231 0.3137019230769231 0.1346153846153846 0.078125`
			`0 0.5697115384615384 0.3173076923076923 0.13221153846153846 0.06971153846153846`
			`0 0.8822115384615384 0.3088942307692308 0.11658653846153846 0.0673076923076923`
			`1 0.5709134615384616 0.4651442307692308 0.1141826923076923 0.06129807692307692`
			`1 0.8846153846153846 0.46274038461538464 0.11658653846153846 0.06610576923076923`
			`0 0.9038461538461539 0.609375 0.109375 0.056490384615384616`
			`1 0.3125 0.47115384615384615 0.04927884615384615 0.056490384615384616`