Yolo-12-everything/datasets/train/labels/2007_004712_jpg.rf.d28924d5761e33ce39765103eb78c77b.txt

14 0.478515625 0.638671875 0.5576171875 0.7177734375
10 0.1376953125 0.7216796875 0.275390625 0.548828125
4 0.0556640625 0.490234375 0.0556640625 0.154296875
4 0.0322265625 0.470703125 0.0595703125 0.16796875
4 0.1181640625 0.205078125 0.0517578125 0.16015625
8 0.703125 0.5185546875 0.0703125 0.2421875
8 0.7216796875 0.466796875 0.072265625 0.3037109375
8 0.46484375 0.517578125 0.1142578125 0.3203125
8 0.390625 0.4482421875 0.1298828125 0.29296875
15 0.904296875 0.4384765625 0.1884765625 0.5517578125
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 0.478515625 0.638671875 0.5576171875 0.7177734375`
			`10 0.1376953125 0.7216796875 0.275390625 0.548828125`
			`4 0.0556640625 0.490234375 0.0556640625 0.154296875`
			`4 0.0322265625 0.470703125 0.0595703125 0.16796875`
			`4 0.1181640625 0.205078125 0.0517578125 0.16015625`
			`8 0.703125 0.5185546875 0.0703125 0.2421875`
			`8 0.7216796875 0.466796875 0.072265625 0.3037109375`
			`8 0.46484375 0.517578125 0.1142578125 0.3203125`
			`8 0.390625 0.4482421875 0.1298828125 0.29296875`
			`15 0.904296875 0.4384765625 0.1884765625 0.5517578125`