Yolo-12-everything/datasets/train/labels/2009_001412_jpg.rf.ebaf91a7e88049ef0cb372bd87487b05.txt

5 0.0810546875 0.4853515625 0.162109375 0.1171875
6 0.0283203125 0.556640625 0.0556640625 0.0751953125
18 0.5185546875 0.48828125 0.673828125 0.4052734375
15 0.2509765625 0.64453125 0.0341796875 0.044921875
15 0.32421875 0.6533203125 0.0400390625 0.044921875
15 0.412109375 0.66796875 0.0400390625 0.05078125
15 0.5146484375 0.68359375 0.0458984375 0.05078125
15 0.619140625 0.6953125 0.0498046875 0.056640625
15 0.837890625 0.703125 0.0439453125 0.0537109375
14 0.7802734375 0.6416015625 0.0517578125 0.1650390625
14 0.7333984375 0.533203125 0.0263671875 0.05078125
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			`5 0.0810546875 0.4853515625 0.162109375 0.1171875`
			`6 0.0283203125 0.556640625 0.0556640625 0.0751953125`
			`18 0.5185546875 0.48828125 0.673828125 0.4052734375`
			`15 0.2509765625 0.64453125 0.0341796875 0.044921875`
			`15 0.32421875 0.6533203125 0.0400390625 0.044921875`
			`15 0.412109375 0.66796875 0.0400390625 0.05078125`
			`15 0.5146484375 0.68359375 0.0458984375 0.05078125`
			`15 0.619140625 0.6953125 0.0498046875 0.056640625`
			`15 0.837890625 0.703125 0.0439453125 0.0537109375`
			`14 0.7802734375 0.6416015625 0.0517578125 0.1650390625`
			`14 0.7333984375 0.533203125 0.0263671875 0.05078125`