Yolo-12-everything/datasets/train/labels/2011_001842_jpg.rf.ed624c614e9b337d25dcd1ed29e66953.txt

8 0.8701171875 0.8876953125 0.248046875 0.21875
8 0.125 0.828125 0.25 0.3388671875
10 0.494140625 0.7080078125 0.4716796875 0.5791015625
14 0.8291015625 0.6484375 0.337890625 0.6982421875
14 0.783203125 0.5244140625 0.185546875 0.4296875
14 0.6865234375 0.453125 0.1142578125 0.3037109375
14 0.6181640625 0.365234375 0.095703125 0.2294921875
14 0.3828125 0.3916015625 0.07421875 0.1494140625
14 0.31640625 0.4482421875 0.091796875 0.2451171875
14 0.232421875 0.5224609375 0.1357421875 0.431640625
14 0.1337890625 0.6123046875 0.267578125 0.60546875
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			`8 0.8701171875 0.8876953125 0.248046875 0.21875`
			`8 0.125 0.828125 0.25 0.3388671875`
			`10 0.494140625 0.7080078125 0.4716796875 0.5791015625`
			`14 0.8291015625 0.6484375 0.337890625 0.6982421875`
			`14 0.783203125 0.5244140625 0.185546875 0.4296875`
			`14 0.6865234375 0.453125 0.1142578125 0.3037109375`
			`14 0.6181640625 0.365234375 0.095703125 0.2294921875`
			`14 0.3828125 0.3916015625 0.07421875 0.1494140625`
			`14 0.31640625 0.4482421875 0.091796875 0.2451171875`
			`14 0.232421875 0.5224609375 0.1357421875 0.431640625`
			`14 0.1337890625 0.6123046875 0.267578125 0.60546875`