Yolo-12-everything/datasets/train/labels/2008_002047_jpg.rf.cf12df0a78685e932508c67970705e84.txt

14 0.7265625 0.6162109375 0.5419921875 0.7626953125
14 0.3291015625 0.6669921875 0.490234375 0.6611328125
13 0.2138671875 0.5791015625 0.080078125 0.07421875
14 0.212890625 0.546875 0.0419921875 0.1064453125
14 0.912109375 0.6240234375 0.068359375 0.21875
14 0.8447265625 0.6064453125 0.0703125 0.2421875
14 0.1025390625 0.5390625 0.0224609375 0.0849609375
14 0.1357421875 0.5361328125 0.0283203125 0.080078125
14 0.96484375 0.603515625 0.0458984375 0.2001953125
14 0.8857421875 0.6015625 0.0283203125 0.1943359375
14 0.9482421875 0.6923828125 0.099609375 0.34375
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 0.7265625 0.6162109375 0.5419921875 0.7626953125`
			`14 0.3291015625 0.6669921875 0.490234375 0.6611328125`
			`13 0.2138671875 0.5791015625 0.080078125 0.07421875`
			`14 0.212890625 0.546875 0.0419921875 0.1064453125`
			`14 0.912109375 0.6240234375 0.068359375 0.21875`
			`14 0.8447265625 0.6064453125 0.0703125 0.2421875`
			`14 0.1025390625 0.5390625 0.0224609375 0.0849609375`
			`14 0.1357421875 0.5361328125 0.0283203125 0.080078125`
			`14 0.96484375 0.603515625 0.0458984375 0.2001953125`
			`14 0.8857421875 0.6015625 0.0283203125 0.1943359375`
			`14 0.9482421875 0.6923828125 0.099609375 0.34375`