Yolo-12-everything/datasets/train/labels/2008_004614_jpg.rf.5c4a84bb1f1c96ea9b4426cbdbda3213.txt

6 0.8017578125 0.755859375 0.076171875 0.046875
6 0.703125 0.755859375 0.08203125 0.05078125
6 0.603515625 0.759765625 0.0703125 0.046875
14 0.2919921875 0.771484375 0.03515625 0.08203125
14 0.2294921875 0.7646484375 0.025390625 0.0703125
14 0.185546875 0.759765625 0.02734375 0.05859375
6 0.73046875 0.8798828125 0.3828125 0.240234375
5 0.353515625 0.7353515625 0.28515625 0.11328125
5 0.078125 0.71484375 0.15625 0.07421875
6 0.0185546875 0.771484375 0.037109375 0.07421875
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			`6 0.8017578125 0.755859375 0.076171875 0.046875`
			`6 0.703125 0.755859375 0.08203125 0.05078125`
			`6 0.603515625 0.759765625 0.0703125 0.046875`
			`14 0.2919921875 0.771484375 0.03515625 0.08203125`
			`14 0.2294921875 0.7646484375 0.025390625 0.0703125`
			`14 0.185546875 0.759765625 0.02734375 0.05859375`
			`6 0.73046875 0.8798828125 0.3828125 0.240234375`
			`5 0.353515625 0.7353515625 0.28515625 0.11328125`
			`5 0.078125 0.71484375 0.15625 0.07421875`
			`6 0.0185546875 0.771484375 0.037109375 0.07421875`