Yolo-12-everything/datasets/train/labels/2009_005001_jpg.rf.a78add47c960b0d837ea7742e2b2d2b6.txt

14 0.046875 0.4755859375 0.09375 0.583984375
14 0.1650390625 0.3935546875 0.2578125 0.5576171875
14 0.5068359375 0.435546875 0.24609375 0.818359375
14 0.443359375 0.466796875 0.2578125 0.341796875
14 0.9189453125 0.201171875 0.158203125 0.232421875
14 0.921875 0.3076171875 0.15234375 0.568359375
14 0.767578125 0.4404296875 0.251953125 0.591796875
14 0.66015625 0.7197265625 0.3916015625 0.5546875
14 0.923828125 0.5498046875 0.1484375 0.896484375
10 0.302734375 0.8046875 0.60546875 0.3828125
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 0.046875 0.4755859375 0.09375 0.583984375`
			`14 0.1650390625 0.3935546875 0.2578125 0.5576171875`
			`14 0.5068359375 0.435546875 0.24609375 0.818359375`
			`14 0.443359375 0.466796875 0.2578125 0.341796875`
			`14 0.9189453125 0.201171875 0.158203125 0.232421875`
			`14 0.921875 0.3076171875 0.15234375 0.568359375`
			`14 0.767578125 0.4404296875 0.251953125 0.591796875`
			`14 0.66015625 0.7197265625 0.3916015625 0.5546875`
			`14 0.923828125 0.5498046875 0.1484375 0.896484375`
			`10 0.302734375 0.8046875 0.60546875 0.3828125`