Yolo-12-everything/datasets/valid/labels/2011_001305_jpg.rf.2c6afbb90826bfe91828c715b99b8f64.txt

4 0.0947265625 0.8037109375 0.1220703125 0.38671875
4 0.2900390625 0.6064453125 0.068359375 0.2001953125
4 0.435546875 0.5732421875 0.0556640625 0.298828125
4 0.4677734375 0.6640625 0.083984375 0.3623046875
8 0.8115234375 0.486328125 0.1884765625 0.3330078125
8 0.576171875 0.2705078125 0.080078125 0.130859375
10 0.435546875 0.787109375 0.8681640625 0.4208984375
14 0.1083984375 0.4990234375 0.2158203125 0.576171875
14 0.6611328125 0.3916015625 0.349609375 0.5009765625
14 0.79296875 0.57421875 0.41015625 0.845703125
14 0.806640625 0.1748046875 0.2978515625 0.3388671875
14 0.8642578125 0.095703125 0.1640625 0.181640625
14 0.6318359375 0.09765625 0.1484375 0.1943359375
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			`4 0.0947265625 0.8037109375 0.1220703125 0.38671875`
			`4 0.2900390625 0.6064453125 0.068359375 0.2001953125`
			`4 0.435546875 0.5732421875 0.0556640625 0.298828125`
			`4 0.4677734375 0.6640625 0.083984375 0.3623046875`
			`8 0.8115234375 0.486328125 0.1884765625 0.3330078125`
			`8 0.576171875 0.2705078125 0.080078125 0.130859375`
			`10 0.435546875 0.787109375 0.8681640625 0.4208984375`
			`14 0.1083984375 0.4990234375 0.2158203125 0.576171875`
			`14 0.6611328125 0.3916015625 0.349609375 0.5009765625`
			`14 0.79296875 0.57421875 0.41015625 0.845703125`
			`14 0.806640625 0.1748046875 0.2978515625 0.3388671875`
			`14 0.8642578125 0.095703125 0.1640625 0.181640625`
			`14 0.6318359375 0.09765625 0.1484375 0.1943359375`