Yolo-12-everything/datasets/train/labels/2009_002688_jpg.rf.d8fb1bb0ffd372cb44eff04ecbe6bd1c.txt

15 0.96875 0.265625 0.0576171875 0.1865234375
15 0.478515625 0.2744140625 0.08203125 0.138671875
4 0.3447265625 0.580078125 0.1376953125 0.0908203125
8 0.9189453125 0.8173828125 0.158203125 0.359375
8 0.69140625 0.576171875 0.185546875 0.16796875
8 0.5009765625 0.5478515625 0.162109375 0.1494140625
8 0.234375 0.7841796875 0.255859375 0.42578125
8 0.5029296875 0.8046875 0.3095703125 0.3857421875
10 0.50390625 0.7939453125 0.828125 0.4072265625
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			`15 0.96875 0.265625 0.0576171875 0.1865234375`
			`15 0.478515625 0.2744140625 0.08203125 0.138671875`
			`4 0.3447265625 0.580078125 0.1376953125 0.0908203125`
			`8 0.9189453125 0.8173828125 0.158203125 0.359375`
			`8 0.69140625 0.576171875 0.185546875 0.16796875`
			`8 0.5009765625 0.5478515625 0.162109375 0.1494140625`
			`8 0.234375 0.7841796875 0.255859375 0.42578125`
			`8 0.5029296875 0.8046875 0.3095703125 0.3857421875`
			`10 0.50390625 0.7939453125 0.828125 0.4072265625`