Yolo-12-everything/datasets/train/labels/2008_007717_jpg.rf.57b9892b1269ea6784ac69a7d7c7251f.txt

8 0.8642578125 0.8037109375 0.1201171875 0.3876953125
8 0.1376953125 0.806640625 0.1318359375 0.3818359375
8 0.130859375 0.5673828125 0.0419921875 0.08984375
4 0.5126953125 0.5673828125 0.0263671875 0.1318359375
14 0.400390625 0.4169921875 0.1201171875 0.24609375
14 0.318359375 0.47265625 0.1923828125 0.36328125
14 0.2158203125 0.6982421875 0.259765625 0.59765625
14 0.7421875 0.6767578125 0.2919921875 0.6396484375
14 0.662109375 0.46875 0.1435546875 0.3427734375
14 0.6162109375 0.4130859375 0.099609375 0.3037109375
10 0.501953125 0.7509765625 0.423828125 0.4921875
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			`8 0.8642578125 0.8037109375 0.1201171875 0.3876953125`
			`8 0.1376953125 0.806640625 0.1318359375 0.3818359375`
			`8 0.130859375 0.5673828125 0.0419921875 0.08984375`
			`4 0.5126953125 0.5673828125 0.0263671875 0.1318359375`
			`14 0.400390625 0.4169921875 0.1201171875 0.24609375`
			`14 0.318359375 0.47265625 0.1923828125 0.36328125`
			`14 0.2158203125 0.6982421875 0.259765625 0.59765625`
			`14 0.7421875 0.6767578125 0.2919921875 0.6396484375`
			`14 0.662109375 0.46875 0.1435546875 0.3427734375`
			`14 0.6162109375 0.4130859375 0.099609375 0.3037109375`
			`10 0.501953125 0.7509765625 0.423828125 0.4921875`