Yolo-12-everything/datasets/train/labels/2010_005967_jpg.rf.325567b0670225c8e6dff1d734df40b0.txt

8 0.3359375 0.783203125 0.44140625 0.43359375
4 0.0654296875 0.9677734375 0.056640625 0.064453125
14 0.8076171875 0.681640625 0.384765625 0.625
14 0.82421875 0.5546875 0.3515625 0.87109375
14 0.6357421875 0.5888671875 0.14453125 0.74609375
14 0.5458984375 0.6044921875 0.111328125 0.421875
14 0.4658203125 0.669921875 0.25390625 0.66015625
14 0.41015625 0.8291015625 0.234375 0.341796875
14 0.2744140625 0.541015625 0.1875 0.591796875
14 0.138671875 0.5849609375 0.205078125 0.697265625
14 0.4599609375 0.359375 0.111328125 0.30859375
14 0.666015625 0.2822265625 0.068359375 0.193359375
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			`8 0.3359375 0.783203125 0.44140625 0.43359375`
			`4 0.0654296875 0.9677734375 0.056640625 0.064453125`
			`14 0.8076171875 0.681640625 0.384765625 0.625`
			`14 0.82421875 0.5546875 0.3515625 0.87109375`
			`14 0.6357421875 0.5888671875 0.14453125 0.74609375`
			`14 0.5458984375 0.6044921875 0.111328125 0.421875`
			`14 0.4658203125 0.669921875 0.25390625 0.66015625`
			`14 0.41015625 0.8291015625 0.234375 0.341796875`
			`14 0.2744140625 0.541015625 0.1875 0.591796875`
			`14 0.138671875 0.5849609375 0.205078125 0.697265625`
			`14 0.4599609375 0.359375 0.111328125 0.30859375`
			`14 0.666015625 0.2822265625 0.068359375 0.193359375`