Yolo-12-everything/datasets/train/labels/2007_007795_jpg.rf.34d3c9a9b533b2ec635c6c124be9a659.txt

14 0.158203125 0.6396484375 0.2919921875 0.708984375
14 0.3115234375 0.5615234375 0.2001953125 0.4990234375
14 0.384765625 0.5693359375 0.1220703125 0.4931640625
14 0.65234375 0.5576171875 0.1279296875 0.314453125
14 0.740234375 0.572265625 0.1484375 0.3388671875
14 0.88671875 0.6318359375 0.162109375 0.4482421875
15 0.5595703125 0.7333984375 0.091796875 0.181640625
8 0.5107421875 0.5322265625 0.1103515625 0.1787109375
15 0.546875 0.427734375 0.0419921875 0.0830078125
15 0.509765625 0.3603515625 0.076171875 0.203125
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 0.158203125 0.6396484375 0.2919921875 0.708984375`
			`14 0.3115234375 0.5615234375 0.2001953125 0.4990234375`
			`14 0.384765625 0.5693359375 0.1220703125 0.4931640625`
			`14 0.65234375 0.5576171875 0.1279296875 0.314453125`
			`14 0.740234375 0.572265625 0.1484375 0.3388671875`
			`14 0.88671875 0.6318359375 0.162109375 0.4482421875`
			`15 0.5595703125 0.7333984375 0.091796875 0.181640625`
			`8 0.5107421875 0.5322265625 0.1103515625 0.1787109375`
			`15 0.546875 0.427734375 0.0419921875 0.0830078125`
			`15 0.509765625 0.3603515625 0.076171875 0.203125`