ComView/datasets/valid/labels/istockphoto-623184128-1024x1024_jpg.rf.00e6086f7858f54cabb5494430b3072d.txt

1 0.5396634615384616 0.1658653846153846 0.06490384615384616 0.10216346153846154
1 0.3918269230769231 0.6526442307692307 0.06971153846153846 0.10216346153846154
0 0.3942307692307692 0.15985576923076922 0.0625 0.09975961538461539
0 0.4639423076923077 0.36658653846153844 0.054086538461538464 0.08774038461538461
0 0.6141826923076923 0.36899038461538464 0.051682692307692304 0.08533653846153846
0 0.5408653846153846 0.6586538461538461 0.06370192307692307 0.09254807692307693
0 0.39302884615384615 0.8617788461538461 0.05889423076923077 0.08774038461538461
0 0.5372596153846154 0.8641826923076923 0.05889423076923077 0.08533653846153846
0 0.6850961538461539 0.8617788461538461 0.06610576923076923 0.0889423076923077
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			`1 0.5396634615384616 0.1658653846153846 0.06490384615384616 0.10216346153846154`
			`1 0.3918269230769231 0.6526442307692307 0.06971153846153846 0.10216346153846154`
			`0 0.3942307692307692 0.15985576923076922 0.0625 0.09975961538461539`
			`0 0.4639423076923077 0.36658653846153844 0.054086538461538464 0.08774038461538461`
			`0 0.6141826923076923 0.36899038461538464 0.051682692307692304 0.08533653846153846`
			`0 0.5408653846153846 0.6586538461538461 0.06370192307692307 0.09254807692307693`
			`0 0.39302884615384615 0.8617788461538461 0.05889423076923077 0.08774038461538461`
			`0 0.5372596153846154 0.8641826923076923 0.05889423076923077 0.08533653846153846`
			`0 0.6850961538461539 0.8617788461538461 0.06610576923076923 0.0889423076923077`