Yolo-12-everything/datasets/train/labels/2007_000793_jpg.rf.347b92f1f85134e1905cd79f55ff88b3.txt

14 0.3974609375 0.375 0.0546875 0.22265625
14 0.4912109375 0.3857421875 0.05859375 0.18359375
14 0.5478515625 0.376953125 0.03515625 0.189453125
14 0.1328125 0.431640625 0.12890625 0.51171875
14 0.8525390625 0.3583984375 0.0390625 0.13671875
14 0.7919921875 0.3515625 0.03515625 0.138671875
14 0.7119140625 0.4775390625 0.1796875 0.54296875
14 0.43359375 0.376953125 0.04296875 0.2109375
1 0.541015625 0.583984375 0.318359375 0.3203125
5 0.94921875 0.2841796875 0.09765625 0.146484375
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 0.3974609375 0.375 0.0546875 0.22265625`
			`14 0.4912109375 0.3857421875 0.05859375 0.18359375`
			`14 0.5478515625 0.376953125 0.03515625 0.189453125`
			`14 0.1328125 0.431640625 0.12890625 0.51171875`
			`14 0.8525390625 0.3583984375 0.0390625 0.13671875`
			`14 0.7919921875 0.3515625 0.03515625 0.138671875`
			`14 0.7119140625 0.4775390625 0.1796875 0.54296875`
			`14 0.43359375 0.376953125 0.04296875 0.2109375`
			`1 0.541015625 0.583984375 0.318359375 0.3203125`
			`5 0.94921875 0.2841796875 0.09765625 0.146484375`