Yolo-12-everything/datasets/train/labels/2009_003577_jpg.rf.fb0bbd66007624a4a4c595feb6eb3fb4.txt

10 0.427734375 0.8046875 0.85546875 0.3828125
14 0.349609375 0.4228515625 0.33984375 0.51953125
14 0.7177734375 0.51171875 0.3876953125 0.6455078125
8 0.349609375 0.5185546875 0.3876953125 0.248046875
8 0.8525390625 0.71875 0.1337890625 0.5576171875
8 0.95703125 0.4453125 0.08203125 0.138671875
14 0.9296875 0.302734375 0.1357421875 0.291015625
14 0.9521484375 0.34765625 0.091796875 0.2001953125
14 0.7568359375 0.28515625 0.0419921875 0.0537109375
14 0.703125 0.2890625 0.0341796875 0.109375
10 0.7568359375 0.3896484375 0.0615234375 0.0849609375
10 0.8046875 0.3759765625 0.0263671875 0.0908203125
10 0.8154296875 0.353515625 0.0263671875 0.0771484375
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 0.427734375 0.8046875 0.85546875 0.3828125`
			`14 0.349609375 0.4228515625 0.33984375 0.51953125`
			`14 0.7177734375 0.51171875 0.3876953125 0.6455078125`
			`8 0.349609375 0.5185546875 0.3876953125 0.248046875`
			`8 0.8525390625 0.71875 0.1337890625 0.5576171875`
			`8 0.95703125 0.4453125 0.08203125 0.138671875`
			`14 0.9296875 0.302734375 0.1357421875 0.291015625`
			`14 0.9521484375 0.34765625 0.091796875 0.2001953125`
			`14 0.7568359375 0.28515625 0.0419921875 0.0537109375`
			`14 0.703125 0.2890625 0.0341796875 0.109375`
			`10 0.7568359375 0.3896484375 0.0615234375 0.0849609375`
			`10 0.8046875 0.3759765625 0.0263671875 0.0908203125`
			`10 0.8154296875 0.353515625 0.0263671875 0.0771484375`