Yolo-12-everything/datasets/train/labels/2011_000347_jpg.rf.e5b6d816b0fc19a88a6093754241bd95.txt

3 0.7001953125 0.3466796875 0.212890625 0.693359375
3 0.4013671875 0.3369140625 0.2109375 0.673828125
3 0.244140625 0.3203125 0.173828125 0.6328125
14 0.810546875 0.6162109375 0.056640625 0.216796875
14 0.7705078125 0.6201171875 0.06640625 0.23046875
14 0.4931640625 0.5947265625 0.0703125 0.181640625
14 0.4052734375 0.5439453125 0.044921875 0.08203125
14 0.326171875 0.5341796875 0.05078125 0.083984375
14 0.2294921875 0.580078125 0.052734375 0.166015625
14 0.2548828125 0.541015625 0.044921875 0.072265625
feat(datasets): 添加新的训练和验证标签文件 - 在 train 和 valid 文件夹下添加了多个新的标签文件 - 标签文件包含不同类别的对象标注信息- 新增的标签文件将有助于模型训练和评估 2025-06-03 15:13:32 +00:00			`3 0.7001953125 0.3466796875 0.212890625 0.693359375`
			`3 0.4013671875 0.3369140625 0.2109375 0.673828125`
			`3 0.244140625 0.3203125 0.173828125 0.6328125`
			`14 0.810546875 0.6162109375 0.056640625 0.216796875`
			`14 0.7705078125 0.6201171875 0.06640625 0.23046875`
			`14 0.4931640625 0.5947265625 0.0703125 0.181640625`
			`14 0.4052734375 0.5439453125 0.044921875 0.08203125`
			`14 0.326171875 0.5341796875 0.05078125 0.083984375`
			`14 0.2294921875 0.580078125 0.052734375 0.166015625`
			`14 0.2548828125 0.541015625 0.044921875 0.072265625`