Yolo-12-everything/datasets/train/labels/2009_002471_jpg.rf.61d4554155dd273db92e1b3255a38f8f.txt

14 0.7509765625 0.435546875 0.2822265625 0.4404296875
14 0.2001953125 0.625 0.34375 0.744140625
8 0.16796875 0.828125 0.3359375 0.3388671875
8 0.498046875 0.8857421875 0.263671875 0.2236328125
8 0.03125 0.59765625 0.0615234375 0.1279296875
8 0.2919921875 0.474609375 0.095703125 0.07421875
8 0.4072265625 0.4599609375 0.0859375 0.1572265625
8 0.8662109375 0.412109375 0.0517578125 0.06640625
8 0.630859375 0.37890625 0.0615234375 0.0537109375
10 0.66796875 0.5869140625 0.65625 0.4267578125
8 0.41015625 0.4462890625 0.1396484375 0.1416015625
10 0.431640625 0.7265625 0.86328125 0.5390625
14 0.537109375 0.40625 0.23046875 0.3544921875
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			`14 0.7509765625 0.435546875 0.2822265625 0.4404296875`
			`14 0.2001953125 0.625 0.34375 0.744140625`
			`8 0.16796875 0.828125 0.3359375 0.3388671875`
			`8 0.498046875 0.8857421875 0.263671875 0.2236328125`
			`8 0.03125 0.59765625 0.0615234375 0.1279296875`
			`8 0.2919921875 0.474609375 0.095703125 0.07421875`
			`8 0.4072265625 0.4599609375 0.0859375 0.1572265625`
			`8 0.8662109375 0.412109375 0.0517578125 0.06640625`
			`8 0.630859375 0.37890625 0.0615234375 0.0537109375`
			`10 0.66796875 0.5869140625 0.65625 0.4267578125`
			`8 0.41015625 0.4462890625 0.1396484375 0.1416015625`
			`10 0.431640625 0.7265625 0.86328125 0.5390625`
			`14 0.537109375 0.40625 0.23046875 0.3544921875`