Yolo-12-everything/datasets/train/labels/2010_004275_jpg.rf.fcac110fb3e69033b2a699c246577cda.txt

8 0.193359375 0.87109375 0.310546875 0.23046875
8 0.8759765625 0.876953125 0.115234375 0.24609375
10 0.669921875 0.888671875 0.42578125 0.22265625
8 0.751953125 0.97265625 0.22265625 0.0546875
8 0.595703125 0.7783203125 0.14453125 0.056640625
4 0.806640625 0.0654296875 0.0234375 0.08984375
4 0.8271484375 0.0625 0.021484375 0.08203125
4 0.8505859375 0.064453125 0.02734375 0.083984375
4 0.8720703125 0.0634765625 0.02734375 0.080078125
4 0.896484375 0.060546875 0.02734375 0.068359375
4 0.69140625 0.4638671875 0.01953125 0.068359375
4 0.515625 0.494140625 0.017578125 0.076171875
4 0.5322265625 0.486328125 0.017578125 0.056640625
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 0.193359375 0.87109375 0.310546875 0.23046875`
			`8 0.8759765625 0.876953125 0.115234375 0.24609375`
			`10 0.669921875 0.888671875 0.42578125 0.22265625`
			`8 0.751953125 0.97265625 0.22265625 0.0546875`
			`8 0.595703125 0.7783203125 0.14453125 0.056640625`
			`4 0.806640625 0.0654296875 0.0234375 0.08984375`
			`4 0.8271484375 0.0625 0.021484375 0.08203125`
			`4 0.8505859375 0.064453125 0.02734375 0.083984375`
			`4 0.8720703125 0.0634765625 0.02734375 0.080078125`
			`4 0.896484375 0.060546875 0.02734375 0.068359375`
			`4 0.69140625 0.4638671875 0.01953125 0.068359375`
			`4 0.515625 0.494140625 0.017578125 0.076171875`
			`4 0.5322265625 0.486328125 0.017578125 0.056640625`