Yolo-12-everything/datasets/train/labels/2011_002358_jpg.rf.871455e59a74773fc4128ccb4a331f8a.txt

4 0.671875 0.7119140625 0.0478515625 0.154296875
10 0.4716796875 0.703125 0.6884765625 0.5888671875
14 0.203125 0.634765625 0.3056640625 0.6884765625
14 0.3330078125 0.400390625 0.177734375 0.27734375
14 0.5107421875 0.3291015625 0.173828125 0.2529296875
14 0.7529296875 0.5771484375 0.490234375 0.6103515625
14 0.6904296875 0.3115234375 0.1396484375 0.197265625
8 0.1298828125 0.7197265625 0.259765625 0.51171875
8 0.0751953125 0.9404296875 0.150390625 0.1142578125
8 0.8603515625 0.9384765625 0.2763671875 0.1171875
8 0.9677734375 0.4775390625 0.0595703125 0.2236328125
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 0.671875 0.7119140625 0.0478515625 0.154296875`
			`10 0.4716796875 0.703125 0.6884765625 0.5888671875`
			`14 0.203125 0.634765625 0.3056640625 0.6884765625`
			`14 0.3330078125 0.400390625 0.177734375 0.27734375`
			`14 0.5107421875 0.3291015625 0.173828125 0.2529296875`
			`14 0.7529296875 0.5771484375 0.490234375 0.6103515625`
			`14 0.6904296875 0.3115234375 0.1396484375 0.197265625`
			`8 0.1298828125 0.7197265625 0.259765625 0.51171875`
			`8 0.0751953125 0.9404296875 0.150390625 0.1142578125`
			`8 0.8603515625 0.9384765625 0.2763671875 0.1171875`
			`8 0.9677734375 0.4775390625 0.0595703125 0.2236328125`