Yolo-12-everything/datasets/train/labels/2009_002338_jpg.rf.a7eb2d5583f0572a76c0537d7cd3a384.txt

14 0.9423828125 0.6845703125 0.115234375 0.630859375
14 0.3837890625 0.640625 0.24609375 0.71484375
14 0.62109375 0.6708984375 0.42578125 0.658203125
14 0.6904296875 0.4912109375 0.1171875 0.2890625
14 0.1904296875 0.5087890625 0.12890625 0.45703125
14 0.0556640625 0.62109375 0.111328125 0.38671875
14 0.072265625 0.5498046875 0.14453125 0.556640625
1 0.84765625 0.873046875 0.29296875 0.25390625
1 0.537109375 0.8330078125 0.5625 0.333984375
1 0.30859375 0.8798828125 0.6015625 0.23828125
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			`14 0.9423828125 0.6845703125 0.115234375 0.630859375`
			`14 0.3837890625 0.640625 0.24609375 0.71484375`
			`14 0.62109375 0.6708984375 0.42578125 0.658203125`
			`14 0.6904296875 0.4912109375 0.1171875 0.2890625`
			`14 0.1904296875 0.5087890625 0.12890625 0.45703125`
			`14 0.0556640625 0.62109375 0.111328125 0.38671875`
			`14 0.072265625 0.5498046875 0.14453125 0.556640625`
			`1 0.84765625 0.873046875 0.29296875 0.25390625`
			`1 0.537109375 0.8330078125 0.5625 0.333984375`
			`1 0.30859375 0.8798828125 0.6015625 0.23828125`