Yolo-12-everything/datasets/train/labels/2008_002973_jpg.rf.55b0133423dae6d132b30a9769324e33.txt

14 0.2685546875 0.5078125 0.537109375 0.640625
14 0.765625 0.5185546875 0.46875 0.595703125
10 0.48828125 0.8486328125 0.9765625 0.302734375
14 0.447265625 0.517578125 0.24609375 0.5234375
14 0.509765625 0.298828125 0.220703125 0.345703125
14 0.775390625 0.28515625 0.1015625 0.298828125
14 0.75 0.3037109375 0.1484375 0.30859375
14 0.380859375 0.3798828125 0.083984375 0.158203125
14 0.0419921875 0.3046875 0.0546875 0.091796875
14 0.61328125 0.388671875 0.064453125 0.158203125
14 0.693359375 0.455078125 0.087890625 0.1484375
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 0.2685546875 0.5078125 0.537109375 0.640625`
			`14 0.765625 0.5185546875 0.46875 0.595703125`
			`10 0.48828125 0.8486328125 0.9765625 0.302734375`
			`14 0.447265625 0.517578125 0.24609375 0.5234375`
			`14 0.509765625 0.298828125 0.220703125 0.345703125`
			`14 0.775390625 0.28515625 0.1015625 0.298828125`
			`14 0.75 0.3037109375 0.1484375 0.30859375`
			`14 0.380859375 0.3798828125 0.083984375 0.158203125`
			`14 0.0419921875 0.3046875 0.0546875 0.091796875`
			`14 0.61328125 0.388671875 0.064453125 0.158203125`
			`14 0.693359375 0.455078125 0.087890625 0.1484375`