Yolo-12-everything/datasets/train/labels/2009_001754_jpg.rf.c25582a4f556461ab6fa2dcf05d6d314.txt

10 0.4833984375 0.7802734375 0.564453125 0.439453125
8 0.3046875 0.830078125 0.3203125 0.330078125
8 0.2763671875 0.6982421875 0.224609375 0.294921875
8 0.443359375 0.580078125 0.076171875 0.08984375
8 0.6142578125 0.8095703125 0.267578125 0.380859375
8 0.6962890625 0.7802734375 0.22265625 0.40234375
8 0.6552734375 0.5654296875 0.111328125 0.087890625
8 0.90625 0.70703125 0.177734375 0.265625
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 0.4833984375 0.7802734375 0.564453125 0.439453125`
			`8 0.3046875 0.830078125 0.3203125 0.330078125`
			`8 0.2763671875 0.6982421875 0.224609375 0.294921875`
			`8 0.443359375 0.580078125 0.076171875 0.08984375`
			`8 0.6142578125 0.8095703125 0.267578125 0.380859375`
			`8 0.6962890625 0.7802734375 0.22265625 0.40234375`
			`8 0.6552734375 0.5654296875 0.111328125 0.087890625`
			`8 0.90625 0.70703125 0.177734375 0.265625`