Yolo-12-everything/datasets/train/labels/2008_005214_jpg.rf.4def7db234afdc3774d8f1a97be7c356.txt

15 0.0693359375 0.83203125 0.107421875 0.2890625
15 0.2001953125 0.8935546875 0.08984375 0.134765625
15 0.2890625 0.8935546875 0.07421875 0.119140625
15 0.3720703125 0.8974609375 0.072265625 0.091796875
15 0.4453125 0.890625 0.060546875 0.091796875
15 0.537109375 0.8857421875 0.072265625 0.0859375
15 0.630859375 0.859375 0.076171875 0.123046875
15 0.8134765625 0.8251953125 0.0859375 0.158203125
15 0.876953125 0.8515625 0.08984375 0.1015625
15 0.95703125 0.8447265625 0.056640625 0.087890625
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 0.0693359375 0.83203125 0.107421875 0.2890625`
			`15 0.2001953125 0.8935546875 0.08984375 0.134765625`
			`15 0.2890625 0.8935546875 0.07421875 0.119140625`
			`15 0.3720703125 0.8974609375 0.072265625 0.091796875`
			`15 0.4453125 0.890625 0.060546875 0.091796875`
			`15 0.537109375 0.8857421875 0.072265625 0.0859375`
			`15 0.630859375 0.859375 0.076171875 0.123046875`
			`15 0.8134765625 0.8251953125 0.0859375 0.158203125`
			`15 0.876953125 0.8515625 0.08984375 0.1015625`
			`15 0.95703125 0.8447265625 0.056640625 0.087890625`