Yolo-12-everything/datasets/train/labels/2010_001113_jpg.rf.aa2596e06b294cb7223429944bd309d8.txt

14 0.228515625 0.78125 0.25390625 0.431640625
14 0.4658203125 0.802734375 0.2158203125 0.3837890625
14 0.6064453125 0.796875 0.1796875 0.373046875
14 0.8486328125 0.787109375 0.25390625 0.416015625
14 0.3818359375 0.6318359375 0.2041015625 0.6884765625
14 0.5419921875 0.5703125 0.1640625 0.453125
14 0.599609375 0.39453125 0.099609375 0.21875
14 0.662109375 0.6416015625 0.18359375 0.4404296875
10 0.8935546875 0.693359375 0.15625 0.138671875
19 0.064453125 0.6484375 0.1279296875 0.5595703125
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 0.228515625 0.78125 0.25390625 0.431640625`
			`14 0.4658203125 0.802734375 0.2158203125 0.3837890625`
			`14 0.6064453125 0.796875 0.1796875 0.373046875`
			`14 0.8486328125 0.787109375 0.25390625 0.416015625`
			`14 0.3818359375 0.6318359375 0.2041015625 0.6884765625`
			`14 0.5419921875 0.5703125 0.1640625 0.453125`
			`14 0.599609375 0.39453125 0.099609375 0.21875`
			`14 0.662109375 0.6416015625 0.18359375 0.4404296875`
			`10 0.8935546875 0.693359375 0.15625 0.138671875`
			`19 0.064453125 0.6484375 0.1279296875 0.5595703125`