Yolo-12-everything/datasets/train/labels/2009_003154_jpg.rf.15049d6c7b81d0e907f495e5da0045a2.txt

10 0.47265625 0.77734375 0.66015625 0.4296875
14 0.130859375 0.625 0.26171875 0.734375
14 0.2783203125 0.4638671875 0.24609375 0.46484375
14 0.8095703125 0.6572265625 0.380859375 0.685546875
14 0.708984375 0.580078125 0.19921875 0.419921875
4 0.43359375 0.5693359375 0.056640625 0.134765625
4 0.4697265625 0.55078125 0.033203125 0.12890625
4 0.4130859375 0.5458984375 0.021484375 0.142578125
4 0.44140625 0.48046875 0.0234375 0.03515625
4 0.421875 0.4814453125 0.025390625 0.037109375
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 0.47265625 0.77734375 0.66015625 0.4296875`
			`14 0.130859375 0.625 0.26171875 0.734375`
			`14 0.2783203125 0.4638671875 0.24609375 0.46484375`
			`14 0.8095703125 0.6572265625 0.380859375 0.685546875`
			`14 0.708984375 0.580078125 0.19921875 0.419921875`
			`4 0.43359375 0.5693359375 0.056640625 0.134765625`
			`4 0.4697265625 0.55078125 0.033203125 0.12890625`
			`4 0.4130859375 0.5458984375 0.021484375 0.142578125`
			`4 0.44140625 0.48046875 0.0234375 0.03515625`
			`4 0.421875 0.4814453125 0.025390625 0.037109375`