Yolo-12-everything/datasets/train/labels/2008_002123_jpg.rf.effbf7c64b105103c8b7e41aea70b364.txt

13 0.9501953125 0.4296875 0.095703125 0.3251953125
13 0.794921875 0.4404296875 0.1015625 0.3203125
13 0.611328125 0.5947265625 0.2978515625 0.400390625
13 0.1474609375 0.6484375 0.2939453125 0.5595703125
14 0.14453125 0.310546875 0.1298828125 0.2109375
14 0.390625 0.529296875 0.1982421875 0.6748046875
14 0.3505859375 0.4892578125 0.1416015625 0.5576171875
14 0.4697265625 0.3515625 0.072265625 0.234375
14 0.66015625 0.5078125 0.1357421875 0.626953125
14 0.8603515625 0.4658203125 0.1318359375 0.62109375
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			`13 0.9501953125 0.4296875 0.095703125 0.3251953125`
			`13 0.794921875 0.4404296875 0.1015625 0.3203125`
			`13 0.611328125 0.5947265625 0.2978515625 0.400390625`
			`13 0.1474609375 0.6484375 0.2939453125 0.5595703125`
			`14 0.14453125 0.310546875 0.1298828125 0.2109375`
			`14 0.390625 0.529296875 0.1982421875 0.6748046875`
			`14 0.3505859375 0.4892578125 0.1416015625 0.5576171875`
			`14 0.4697265625 0.3515625 0.072265625 0.234375`
			`14 0.66015625 0.5078125 0.1357421875 0.626953125`
			`14 0.8603515625 0.4658203125 0.1318359375 0.62109375`