Yolo-12-everything/datasets/train/labels/2010_005654_jpg.rf.93a76471b4ae457c5e8e8d568e78b119.txt

10 0.560546875 0.818359375 0.341796875 0.357421875
8 0.6435546875 0.853515625 0.236328125 0.2822265625
8 0.224609375 0.83984375 0.1142578125 0.3095703125
4 0.515625 0.654296875 0.0244140625 0.072265625
14 0.3330078125 0.6650390625 0.169921875 0.6640625
14 0.2197265625 0.65234375 0.1396484375 0.6904296875
14 0.46484375 0.6572265625 0.23046875 0.626953125
14 0.625 0.751953125 0.181640625 0.490234375
14 0.7587890625 0.6337890625 0.169921875 0.7275390625
14 0.74609375 0.4404296875 0.1201171875 0.17578125
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 0.560546875 0.818359375 0.341796875 0.357421875`
			`8 0.6435546875 0.853515625 0.236328125 0.2822265625`
			`8 0.224609375 0.83984375 0.1142578125 0.3095703125`
			`4 0.515625 0.654296875 0.0244140625 0.072265625`
			`14 0.3330078125 0.6650390625 0.169921875 0.6640625`
			`14 0.2197265625 0.65234375 0.1396484375 0.6904296875`
			`14 0.46484375 0.6572265625 0.23046875 0.626953125`
			`14 0.625 0.751953125 0.181640625 0.490234375`
			`14 0.7587890625 0.6337890625 0.169921875 0.7275390625`
			`14 0.74609375 0.4404296875 0.1201171875 0.17578125`