Yolo-12-everything/datasets/train/labels/2010_004983_jpg.rf.c70e18d02496d7ab9de842accdf5b81e.txt

10 0.4052734375 0.775390625 0.8056640625 0.4443359375
8 0.939453125 0.771484375 0.1103515625 0.4443359375
8 0.228515625 0.58203125 0.0498046875 0.1181640625
14 0.1689453125 0.6279296875 0.337890625 0.701171875
14 0.2900390625 0.5380859375 0.1201171875 0.2412109375
14 0.810546875 0.66015625 0.3740234375 0.673828125
14 0.9443359375 0.3154296875 0.1083984375 0.2080078125
4 0.447265625 0.5771484375 0.0458984375 0.181640625
4 0.421875 0.5478515625 0.0322265625 0.1845703125
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			`10 0.4052734375 0.775390625 0.8056640625 0.4443359375`
			`8 0.939453125 0.771484375 0.1103515625 0.4443359375`
			`8 0.228515625 0.58203125 0.0498046875 0.1181640625`
			`14 0.1689453125 0.6279296875 0.337890625 0.701171875`
			`14 0.2900390625 0.5380859375 0.1201171875 0.2412109375`
			`14 0.810546875 0.66015625 0.3740234375 0.673828125`
			`14 0.9443359375 0.3154296875 0.1083984375 0.2080078125`
			`4 0.447265625 0.5771484375 0.0458984375 0.181640625`
			`4 0.421875 0.5478515625 0.0322265625 0.1845703125`