Yolo-12-everything/datasets/train/labels/2008_003682_jpg.rf.4e9e1e31272a922a90cf9a63757790a2.txt

1 0.708984375 0.1865234375 0.0224609375 0.078125
1 0.8720703125 0.20703125 0.0244140625 0.095703125
1 0.65234375 0.7421875 0.2880859375 0.5107421875
1 0.0546875 0.8349609375 0.109375 0.322265625
1 0.0810546875 0.798828125 0.162109375 0.396484375
14 0.033203125 0.6669921875 0.06640625 0.6611328125
14 0.0556640625 0.5224609375 0.111328125 0.564453125
14 0.6708984375 0.5498046875 0.23046875 0.8232421875
14 0.7109375 0.1572265625 0.0224609375 0.0693359375
14 0.7333984375 0.1591796875 0.0263671875 0.1142578125
14 0.869140625 0.1669921875 0.0263671875 0.0927734375
14 0.8896484375 0.154296875 0.0244140625 0.111328125
14 0.9638671875 0.13671875 0.0322265625 0.0869140625
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			`1 0.708984375 0.1865234375 0.0224609375 0.078125`
			`1 0.8720703125 0.20703125 0.0244140625 0.095703125`
			`1 0.65234375 0.7421875 0.2880859375 0.5107421875`
			`1 0.0546875 0.8349609375 0.109375 0.322265625`
			`1 0.0810546875 0.798828125 0.162109375 0.396484375`
			`14 0.033203125 0.6669921875 0.06640625 0.6611328125`
			`14 0.0556640625 0.5224609375 0.111328125 0.564453125`
			`14 0.6708984375 0.5498046875 0.23046875 0.8232421875`
			`14 0.7109375 0.1572265625 0.0224609375 0.0693359375`
			`14 0.7333984375 0.1591796875 0.0263671875 0.1142578125`
			`14 0.869140625 0.1669921875 0.0263671875 0.0927734375`
			`14 0.8896484375 0.154296875 0.0244140625 0.111328125`
			`14 0.9638671875 0.13671875 0.0322265625 0.0869140625`