Yolo-12-everything/datasets/train/labels/2010_004778_jpg.rf.8f91a1836f555e77e904dd02dcd839ee.txt

4 0.5126953125 0.5107421875 0.03515625 0.146484375
14 0.052734375 0.296875 0.10546875 0.23828125
8 0.8486328125 0.7822265625 0.302734375 0.416015625
8 0.1962890625 0.8818359375 0.373046875 0.236328125
14 0.6875 0.58203125 0.306640625 0.728515625
14 0.4091796875 0.353515625 0.263671875 0.330078125
14 0.28515625 0.439453125 0.28125 0.44140625
14 0.244140625 0.6005859375 0.48828125 0.798828125
14 0.7841796875 0.6044921875 0.431640625 0.779296875
10 0.47265625 0.7158203125 0.5 0.568359375
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			`4 0.5126953125 0.5107421875 0.03515625 0.146484375`
			`14 0.052734375 0.296875 0.10546875 0.23828125`
			`8 0.8486328125 0.7822265625 0.302734375 0.416015625`
			`8 0.1962890625 0.8818359375 0.373046875 0.236328125`
			`14 0.6875 0.58203125 0.306640625 0.728515625`
			`14 0.4091796875 0.353515625 0.263671875 0.330078125`
			`14 0.28515625 0.439453125 0.28125 0.44140625`
			`14 0.244140625 0.6005859375 0.48828125 0.798828125`
			`14 0.7841796875 0.6044921875 0.431640625 0.779296875`
			`10 0.47265625 0.7158203125 0.5 0.568359375`