Yolo-12-everything/datasets/train/labels/2011_001370_jpg.rf.63c0e1050078c914863a189aa8500097.txt

8 0.1826171875 0.66796875 0.2939453125 0.232421875
8 0.7822265625 0.7548828125 0.2080078125 0.3896484375
19 0.1845703125 0.3896484375 0.181640625 0.1923828125
14 0.9365234375 0.66015625 0.1220703125 0.4560546875
14 0.814453125 0.474609375 0.1162109375 0.3203125
14 0.6884765625 0.5849609375 0.068359375 0.466796875
14 0.6240234375 0.4677734375 0.1083984375 0.3173828125
14 0.5498046875 0.67578125 0.1796875 0.509765625
14 0.3935546875 0.453125 0.15625 0.341796875
14 0.359375 0.7236328125 0.2099609375 0.546875
14 0.23828125 0.490234375 0.16015625 0.400390625
14 0.0595703125 0.4052734375 0.119140625 0.310546875
14 0.0283203125 0.5732421875 0.0556640625 0.4267578125
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 0.1826171875 0.66796875 0.2939453125 0.232421875`
			`8 0.7822265625 0.7548828125 0.2080078125 0.3896484375`
			`19 0.1845703125 0.3896484375 0.181640625 0.1923828125`
			`14 0.9365234375 0.66015625 0.1220703125 0.4560546875`
			`14 0.814453125 0.474609375 0.1162109375 0.3203125`
			`14 0.6884765625 0.5849609375 0.068359375 0.466796875`
			`14 0.6240234375 0.4677734375 0.1083984375 0.3173828125`
			`14 0.5498046875 0.67578125 0.1796875 0.509765625`
			`14 0.3935546875 0.453125 0.15625 0.341796875`
			`14 0.359375 0.7236328125 0.2099609375 0.546875`
			`14 0.23828125 0.490234375 0.16015625 0.400390625`
			`14 0.0595703125 0.4052734375 0.119140625 0.310546875`
			`14 0.0283203125 0.5732421875 0.0556640625 0.4267578125`