Yolo-12-everything/datasets/train/labels/2008_008757_jpg.rf.38137f9144c802455393a584a3aab83c.txt

18 0.763671875 0.5029296875 0.47265625 0.994140625
14 0.5556640625 0.33984375 0.03515625 0.11328125
14 0.484375 0.296875 0.01953125 0.0390625
14 0.447265625 0.33203125 0.03515625 0.107421875
14 0.35546875 0.298828125 0.0234375 0.048828125
14 0.375 0.3095703125 0.021484375 0.041015625
14 0.3193359375 0.3291015625 0.041015625 0.072265625
14 0.3037109375 0.4072265625 0.05859375 0.279296875
14 0.330078125 0.3857421875 0.068359375 0.185546875
14 0.3984375 0.4345703125 0.12890625 0.333984375
14 0.5078125 0.3984375 0.109375 0.279296875
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			`18 0.763671875 0.5029296875 0.47265625 0.994140625`
			`14 0.5556640625 0.33984375 0.03515625 0.11328125`
			`14 0.484375 0.296875 0.01953125 0.0390625`
			`14 0.447265625 0.33203125 0.03515625 0.107421875`
			`14 0.35546875 0.298828125 0.0234375 0.048828125`
			`14 0.375 0.3095703125 0.021484375 0.041015625`
			`14 0.3193359375 0.3291015625 0.041015625 0.072265625`
			`14 0.3037109375 0.4072265625 0.05859375 0.279296875`
			`14 0.330078125 0.3857421875 0.068359375 0.185546875`
			`14 0.3984375 0.4345703125 0.12890625 0.333984375`
			`14 0.5078125 0.3984375 0.109375 0.279296875`