Yolo-12-everything/datasets/train/labels/2009_004429_jpg.rf.f440fe288937c8b90b9d4bf4f544ea1d.txt

10 0.3916015625 0.755859375 0.783203125 0.48828125
8 0.791015625 0.845703125 0.40234375 0.30859375
8 0.8046875 0.78125 0.38671875 0.4375
14 0.73828125 0.66015625 0.3828125 0.6796875
14 0.6923828125 0.427734375 0.21875 0.359375
14 0.37890625 0.44140625 0.205078125 0.31640625
8 0.26953125 0.4599609375 0.07421875 0.08984375
8 0.068359375 0.7109375 0.13671875 0.54296875
14 0.193359375 0.4677734375 0.205078125 0.38671875
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			`10 0.3916015625 0.755859375 0.783203125 0.48828125`
			`8 0.791015625 0.845703125 0.40234375 0.30859375`
			`8 0.8046875 0.78125 0.38671875 0.4375`
			`14 0.73828125 0.66015625 0.3828125 0.6796875`
			`14 0.6923828125 0.427734375 0.21875 0.359375`
			`14 0.37890625 0.44140625 0.205078125 0.31640625`
			`8 0.26953125 0.4599609375 0.07421875 0.08984375`
			`8 0.068359375 0.7109375 0.13671875 0.54296875`
			`14 0.193359375 0.4677734375 0.205078125 0.38671875`