Yolo-12-everything/datasets/train/labels/2008_000976_jpg.rf.0c9bdc92ab10fa74fabc9c2bd3e65f64.txt

14 0.7431640625 0.623046875 0.25 0.732421875
14 0.556640625 0.6220703125 0.24609375 0.75390625
14 0.36328125 0.642578125 0.2578125 0.71484375
14 0.1826171875 0.80078125 0.142578125 0.3984375
14 0.0732421875 0.8056640625 0.134765625 0.388671875
14 0.8740234375 0.6806640625 0.10546875 0.2578125
8 0.9091796875 0.908203125 0.181640625 0.140625
8 0.892578125 0.7666015625 0.134765625 0.279296875
8 0.236328125 0.9228515625 0.10546875 0.154296875
8 0.1083984375 0.7763671875 0.076171875 0.1875
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 0.7431640625 0.623046875 0.25 0.732421875`
			`14 0.556640625 0.6220703125 0.24609375 0.75390625`
			`14 0.36328125 0.642578125 0.2578125 0.71484375`
			`14 0.1826171875 0.80078125 0.142578125 0.3984375`
			`14 0.0732421875 0.8056640625 0.134765625 0.388671875`
			`14 0.8740234375 0.6806640625 0.10546875 0.2578125`
			`8 0.9091796875 0.908203125 0.181640625 0.140625`
			`8 0.892578125 0.7666015625 0.134765625 0.279296875`
			`8 0.236328125 0.9228515625 0.10546875 0.154296875`
			`8 0.1083984375 0.7763671875 0.076171875 0.1875`