Yolo-12-everything/datasets/train/labels/2008_003635_jpg.rf.9b92e1319808fd4f71ac0425737f6368.txt

4 0.7138671875 0.7451171875 0.1162109375 0.5048828125
14 0.2509765625 0.5107421875 0.2861328125 0.6611328125
14 0.5341796875 0.521484375 0.32421875 0.615234375
14 0.64453125 0.34375 0.08203125 0.111328125
14 0.7236328125 0.3662109375 0.076171875 0.150390625
14 0.7783203125 0.416015625 0.1640625 0.3095703125
14 0.5556640625 0.33203125 0.0400390625 0.0693359375
14 0.59375 0.310546875 0.0400390625 0.0869140625
14 0.3759765625 0.32421875 0.0478515625 0.1259765625
10 0.4990234375 0.8916015625 0.998046875 0.2099609375
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			`4 0.7138671875 0.7451171875 0.1162109375 0.5048828125`
			`14 0.2509765625 0.5107421875 0.2861328125 0.6611328125`
			`14 0.5341796875 0.521484375 0.32421875 0.615234375`
			`14 0.64453125 0.34375 0.08203125 0.111328125`
			`14 0.7236328125 0.3662109375 0.076171875 0.150390625`
			`14 0.7783203125 0.416015625 0.1640625 0.3095703125`
			`14 0.5556640625 0.33203125 0.0400390625 0.0693359375`
			`14 0.59375 0.310546875 0.0400390625 0.0869140625`
			`14 0.3759765625 0.32421875 0.0478515625 0.1259765625`
			`10 0.4990234375 0.8916015625 0.998046875 0.2099609375`