Yolo-12-everything/datasets/train/labels/2008_001389_jpg.rf.180c3af214247457e2129bee09b3aba8.txt

3 0.4912109375 0.498046875 0.80078125 0.76171875
3 0.16796875 0.7529296875 0.060546875 0.017578125
3 0.03125 0.7451171875 0.0625 0.025390625
3 0.884765625 0.7880859375 0.080078125 0.046875
3 0.6982421875 0.7099609375 0.115234375 0.205078125
3 0.171875 0.7861328125 0.259765625 0.052734375
14 0.3623046875 0.7890625 0.03515625 0.0390625
14 0.3896484375 0.791015625 0.03515625 0.03125
14 0.4345703125 0.794921875 0.046875 0.029296875
3 0.95703125 0.818359375 0.037109375 0.017578125
14 0.1650390625 0.771484375 0.029296875 0.037109375
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			`3 0.4912109375 0.498046875 0.80078125 0.76171875`
			`3 0.16796875 0.7529296875 0.060546875 0.017578125`
			`3 0.03125 0.7451171875 0.0625 0.025390625`
			`3 0.884765625 0.7880859375 0.080078125 0.046875`
			`3 0.6982421875 0.7099609375 0.115234375 0.205078125`
			`3 0.171875 0.7861328125 0.259765625 0.052734375`
			`14 0.3623046875 0.7890625 0.03515625 0.0390625`
			`14 0.3896484375 0.791015625 0.03515625 0.03125`
			`14 0.4345703125 0.794921875 0.046875 0.029296875`
			`3 0.95703125 0.818359375 0.037109375 0.017578125`
			`14 0.1650390625 0.771484375 0.029296875 0.037109375`