Yolo-12-everything/datasets/train/labels/2008_007922_jpg.rf.4a4d21b2141a776574269c2c0034db99.txt

8 0.501953125 0.8017578125 0.2998046875 0.3916015625
8 0.677734375 0.7705078125 0.232421875 0.4111328125
8 0.1083984375 0.8330078125 0.2158203125 0.328125
8 0.7666015625 0.6083984375 0.158203125 0.2880859375
8 0.169921875 0.609375 0.1279296875 0.322265625
8 0.302734375 0.546875 0.1220703125 0.1337890625
8 0.45703125 0.517578125 0.1064453125 0.123046875
8 0.55078125 0.49609375 0.1015625 0.1435546875
10 0.4814453125 0.763671875 0.681640625 0.466796875
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			`8 0.501953125 0.8017578125 0.2998046875 0.3916015625`
			`8 0.677734375 0.7705078125 0.232421875 0.4111328125`
			`8 0.1083984375 0.8330078125 0.2158203125 0.328125`
			`8 0.7666015625 0.6083984375 0.158203125 0.2880859375`
			`8 0.169921875 0.609375 0.1279296875 0.322265625`
			`8 0.302734375 0.546875 0.1220703125 0.1337890625`
			`8 0.45703125 0.517578125 0.1064453125 0.123046875`
			`8 0.55078125 0.49609375 0.1015625 0.1435546875`
			`10 0.4814453125 0.763671875 0.681640625 0.466796875`