Yolo-12-everything/datasets/valid/labels/2008_008262_jpg.rf.361637157307dce959a43a48aef45b51.txt

12 0.0888671875 0.66015625 0.177734375 0.205078125
12 0.35546875 0.7158203125 0.2744140625 0.26953125
12 0.3857421875 0.6640625 0.251953125 0.27734375
12 0.8857421875 0.5341796875 0.103515625 0.1142578125
14 0.783203125 0.8095703125 0.06640625 0.3388671875
14 0.857421875 0.7490234375 0.0458984375 0.2724609375
14 0.7763671875 0.625 0.0595703125 0.1728515625
14 0.4658203125 0.7333984375 0.0478515625 0.240234375
14 0.177734375 0.6748046875 0.0322265625 0.181640625
6 0.6923828125 0.5498046875 0.1435546875 0.1337890625
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			`12 0.0888671875 0.66015625 0.177734375 0.205078125`
			`12 0.35546875 0.7158203125 0.2744140625 0.26953125`
			`12 0.3857421875 0.6640625 0.251953125 0.27734375`
			`12 0.8857421875 0.5341796875 0.103515625 0.1142578125`
			`14 0.783203125 0.8095703125 0.06640625 0.3388671875`
			`14 0.857421875 0.7490234375 0.0458984375 0.2724609375`
			`14 0.7763671875 0.625 0.0595703125 0.1728515625`
			`14 0.4658203125 0.7333984375 0.0478515625 0.240234375`
			`14 0.177734375 0.6748046875 0.0322265625 0.181640625`
			`6 0.6923828125 0.5498046875 0.1435546875 0.1337890625`