Yolo-12-everything/datasets/train/labels/2009_001091_jpg.rf.cad43a0c8e6ffa323c9125c61591057d.txt

5 0.259765625 0.35546875 0.51953125 0.70703125
14 0.095703125 0.6845703125 0.19140625 0.630859375
14 0.201171875 0.6845703125 0.173828125 0.552734375
14 0.314453125 0.640625 0.1796875 0.58984375
14 0.3935546875 0.546875 0.13671875 0.4375
14 0.4541015625 0.6845703125 0.17578125 0.611328125
14 0.4716796875 0.568359375 0.2265625 0.509765625
14 0.580078125 0.61328125 0.326171875 0.611328125
14 0.6904296875 0.6064453125 0.201171875 0.63671875
14 0.8173828125 0.603515625 0.197265625 0.677734375
14 0.9091796875 0.6103515625 0.181640625 0.708984375
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 0.259765625 0.35546875 0.51953125 0.70703125`
			`14 0.095703125 0.6845703125 0.19140625 0.630859375`
			`14 0.201171875 0.6845703125 0.173828125 0.552734375`
			`14 0.314453125 0.640625 0.1796875 0.58984375`
			`14 0.3935546875 0.546875 0.13671875 0.4375`
			`14 0.4541015625 0.6845703125 0.17578125 0.611328125`
			`14 0.4716796875 0.568359375 0.2265625 0.509765625`
			`14 0.580078125 0.61328125 0.326171875 0.611328125`
			`14 0.6904296875 0.6064453125 0.201171875 0.63671875`
			`14 0.8173828125 0.603515625 0.197265625 0.677734375`
			`14 0.9091796875 0.6103515625 0.181640625 0.708984375`