Yolo-12-everything/datasets/train/labels/2009_001091_jpg.rf.28cf6e3e01cd1054320a1f216272b0de.txt

5 0.2529296875 0.3330078125 0.505859375 0.666015625
14 0.0732421875 0.66796875 0.146484375 0.658203125
14 0.1865234375 0.658203125 0.1259765625 0.5439453125
14 0.302734375 0.6240234375 0.1298828125 0.5810546875
14 0.3896484375 0.537109375 0.099609375 0.4296875
14 0.4384765625 0.6796875 0.1240234375 0.6025390625
14 0.4658203125 0.5654296875 0.18359375 0.49609375
14 0.5703125 0.6201171875 0.2763671875 0.5888671875
14 0.6806640625 0.623046875 0.146484375 0.626953125
14 0.8076171875 0.630859375 0.1396484375 0.6689453125
14 0.91796875 0.6484375 0.16015625 0.6982421875
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 0.2529296875 0.3330078125 0.505859375 0.666015625`
			`14 0.0732421875 0.66796875 0.146484375 0.658203125`
			`14 0.1865234375 0.658203125 0.1259765625 0.5439453125`
			`14 0.302734375 0.6240234375 0.1298828125 0.5810546875`
			`14 0.3896484375 0.537109375 0.099609375 0.4296875`
			`14 0.4384765625 0.6796875 0.1240234375 0.6025390625`
			`14 0.4658203125 0.5654296875 0.18359375 0.49609375`
			`14 0.5703125 0.6201171875 0.2763671875 0.5888671875`
			`14 0.6806640625 0.623046875 0.146484375 0.626953125`
			`14 0.8076171875 0.630859375 0.1396484375 0.6689453125`
			`14 0.91796875 0.6484375 0.16015625 0.6982421875`