Yolo-12-everything/datasets/train/labels/2008_004084_jpg.rf.d8cc2307aaccad782790aae294ec3e56.txt

13 0.9560546875 0.634765625 0.083984375 0.201171875
13 0.1572265625 0.65625 0.162109375 0.369140625
13 0.0322265625 0.7431640625 0.0595703125 0.2490234375
13 0.3173828125 0.7822265625 0.3623046875 0.4296875
13 0.7119140625 0.7705078125 0.5 0.453125
14 0.03515625 0.6669921875 0.0703125 0.6181640625
14 0.046875 0.5341796875 0.06640625 0.2822265625
14 0.6572265625 0.4609375 0.0458984375 0.12890625
14 0.6796875 0.462890625 0.0283203125 0.08984375
14 0.3095703125 0.6845703125 0.3076171875 0.625
14 0.734375 0.708984375 0.1962890625 0.576171875
14 0.556640625 0.5791015625 0.1298828125 0.318359375
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			`13 0.9560546875 0.634765625 0.083984375 0.201171875`
			`13 0.1572265625 0.65625 0.162109375 0.369140625`
			`13 0.0322265625 0.7431640625 0.0595703125 0.2490234375`
			`13 0.3173828125 0.7822265625 0.3623046875 0.4296875`
			`13 0.7119140625 0.7705078125 0.5 0.453125`
			`14 0.03515625 0.6669921875 0.0703125 0.6181640625`
			`14 0.046875 0.5341796875 0.06640625 0.2822265625`
			`14 0.6572265625 0.4609375 0.0458984375 0.12890625`
			`14 0.6796875 0.462890625 0.0283203125 0.08984375`
			`14 0.3095703125 0.6845703125 0.3076171875 0.625`
			`14 0.734375 0.708984375 0.1962890625 0.576171875`
			`14 0.556640625 0.5791015625 0.1298828125 0.318359375`