Yolo-12-everything/datasets/train/labels/2007_008072_jpg.rf.a6b408532e0fd41ec6a6baf28233d7d1.txt

10 0.56640625 0.7802734375 0.578125 0.439453125
14 0.2861328125 0.4443359375 0.13671875 0.220703125
14 0.0751953125 0.474609375 0.150390625 0.234375
14 0.2724609375 0.697265625 0.318359375 0.60546875
14 0.6240234375 0.44921875 0.171875 0.3046875
14 0.5009765625 0.4228515625 0.171875 0.296875
14 0.75390625 0.4580078125 0.21484375 0.359375
14 0.8291015625 0.623046875 0.341796875 0.72265625
8 0.2353515625 0.8603515625 0.388671875 0.279296875
8 0.1220703125 0.6875 0.154296875 0.21875
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 0.56640625 0.7802734375 0.578125 0.439453125`
			`14 0.2861328125 0.4443359375 0.13671875 0.220703125`
			`14 0.0751953125 0.474609375 0.150390625 0.234375`
			`14 0.2724609375 0.697265625 0.318359375 0.60546875`
			`14 0.6240234375 0.44921875 0.171875 0.3046875`
			`14 0.5009765625 0.4228515625 0.171875 0.296875`
			`14 0.75390625 0.4580078125 0.21484375 0.359375`
			`14 0.8291015625 0.623046875 0.341796875 0.72265625`
			`8 0.2353515625 0.8603515625 0.388671875 0.279296875`
			`8 0.1220703125 0.6875 0.154296875 0.21875`