Yolo-12-everything/datasets/train/labels/2008_005599_jpg.rf.26e7ee0b5c234062f556541cbe4d9976.txt

1 0.1611328125 0.6103515625 0.1640625 0.396484375
1 0.6845703125 0.755859375 0.630859375 0.48828125
1 0.3798828125 0.7109375 0.4609375 0.46875
14 0.94140625 0.6103515625 0.1171875 0.712890625
14 0.701171875 0.6103515625 0.34765625 0.771484375
14 0.6318359375 0.6923828125 0.2109375 0.505859375
14 0.7998046875 0.3876953125 0.103515625 0.326171875
14 0.517578125 0.3603515625 0.021484375 0.083984375
14 0.5029296875 0.365234375 0.013671875 0.07421875
14 0.4072265625 0.576171875 0.23828125 0.765625
14 0.2333984375 0.5166015625 0.138671875 0.568359375
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			`1 0.1611328125 0.6103515625 0.1640625 0.396484375`
			`1 0.6845703125 0.755859375 0.630859375 0.48828125`
			`1 0.3798828125 0.7109375 0.4609375 0.46875`
			`14 0.94140625 0.6103515625 0.1171875 0.712890625`
			`14 0.701171875 0.6103515625 0.34765625 0.771484375`
			`14 0.6318359375 0.6923828125 0.2109375 0.505859375`
			`14 0.7998046875 0.3876953125 0.103515625 0.326171875`
			`14 0.517578125 0.3603515625 0.021484375 0.083984375`
			`14 0.5029296875 0.365234375 0.013671875 0.07421875`
			`14 0.4072265625 0.576171875 0.23828125 0.765625`
			`14 0.2333984375 0.5166015625 0.138671875 0.568359375`