Yolo-12-everything/datasets/train/labels/2009_002993_jpg.rf.1777052aa8cc69e1f92bb787f5c760f8.txt

14 0.1572265625 0.548828125 0.314453125 0.87109375
14 0.373046875 0.5244140625 0.318359375 0.912109375
14 0.5673828125 0.505859375 0.333984375 0.93359375
14 0.8251953125 0.4873046875 0.349609375 0.943359375
13 0.1865234375 0.578125 0.33984375 0.525390625
13 0.4521484375 0.6328125 0.3046875 0.359375
13 0.7275390625 0.548828125 0.158203125 0.470703125
13 0.9541015625 0.52734375 0.091796875 0.49609375
14 0.962890625 0.2900390625 0.056640625 0.162109375
14 0.0263671875 0.4267578125 0.052734375 0.275390625
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			`14 0.1572265625 0.548828125 0.314453125 0.87109375`
			`14 0.373046875 0.5244140625 0.318359375 0.912109375`
			`14 0.5673828125 0.505859375 0.333984375 0.93359375`
			`14 0.8251953125 0.4873046875 0.349609375 0.943359375`
			`13 0.1865234375 0.578125 0.33984375 0.525390625`
			`13 0.4521484375 0.6328125 0.3046875 0.359375`
			`13 0.7275390625 0.548828125 0.158203125 0.470703125`
			`13 0.9541015625 0.52734375 0.091796875 0.49609375`
			`14 0.962890625 0.2900390625 0.056640625 0.162109375`
			`14 0.0263671875 0.4267578125 0.052734375 0.275390625`