Yolo-12-everything/datasets/train/labels/2008_005150_jpg.rf.d497068b550cf1c55f0f2cd342568ef1.txt

10 0.55078125 0.7548828125 0.578125 0.4853515625
8 0.2939453125 0.8681640625 0.236328125 0.2587890625
8 0.2734375 0.77734375 0.181640625 0.28515625
14 0.2333984375 0.5810546875 0.1259765625 0.5595703125
14 0.306640625 0.5224609375 0.1142578125 0.49609375
14 0.669921875 0.4697265625 0.1962890625 0.3203125
14 0.8662109375 0.6962890625 0.2236328125 0.6025390625
14 0.9482421875 0.5283203125 0.099609375 0.2880859375
14 0.453125 0.412109375 0.1220703125 0.205078125
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			`10 0.55078125 0.7548828125 0.578125 0.4853515625`
			`8 0.2939453125 0.8681640625 0.236328125 0.2587890625`
			`8 0.2734375 0.77734375 0.181640625 0.28515625`
			`14 0.2333984375 0.5810546875 0.1259765625 0.5595703125`
			`14 0.306640625 0.5224609375 0.1142578125 0.49609375`
			`14 0.669921875 0.4697265625 0.1962890625 0.3203125`
			`14 0.8662109375 0.6962890625 0.2236328125 0.6025390625`
			`14 0.9482421875 0.5283203125 0.099609375 0.2880859375`
			`14 0.453125 0.412109375 0.1220703125 0.205078125`