Yolo-12-everything/datasets/valid/labels/2010_002462_jpg.rf.6ce8f30f3bf1bae2a3ffcd787a35d937.txt

10 0.61328125 0.7490234375 0.5615234375 0.255859375
14 0.4462890625 0.5029296875 0.095703125 0.2802734375
14 0.4033203125 0.6279296875 0.2138671875 0.509765625
14 0.2236328125 0.6943359375 0.3359375 0.60546875
14 0.1611328125 0.5693359375 0.322265625 0.5888671875
14 0.6669921875 0.435546875 0.06640625 0.1201171875
14 0.7470703125 0.5185546875 0.1259765625 0.263671875
14 0.787109375 0.423828125 0.08203125 0.154296875
14 0.88671875 0.60546875 0.2216796875 0.6396484375
15 0.45703125 0.287109375 0.26953125 0.5732421875
4 0.6337890625 0.6015625 0.0361328125 0.1416015625
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			`10 0.61328125 0.7490234375 0.5615234375 0.255859375`
			`14 0.4462890625 0.5029296875 0.095703125 0.2802734375`
			`14 0.4033203125 0.6279296875 0.2138671875 0.509765625`
			`14 0.2236328125 0.6943359375 0.3359375 0.60546875`
			`14 0.1611328125 0.5693359375 0.322265625 0.5888671875`
			`14 0.6669921875 0.435546875 0.06640625 0.1201171875`
			`14 0.7470703125 0.5185546875 0.1259765625 0.263671875`
			`14 0.787109375 0.423828125 0.08203125 0.154296875`
			`14 0.88671875 0.60546875 0.2216796875 0.6396484375`
			`15 0.45703125 0.287109375 0.26953125 0.5732421875`
			`4 0.6337890625 0.6015625 0.0361328125 0.1416015625`