Yolo-12-everything/datasets/valid/labels/2011_003114_jpg.rf.8359dd585f01eeb8934daab4b22bbac1.txt

5 0.4970703125 0.56640625 0.513671875 0.759765625
14 0.833984375 0.6171875 0.068359375 0.345703125
14 0.931640625 0.625 0.064453125 0.330078125
14 0.9716796875 0.634765625 0.0517578125 0.525390625
14 0.8740234375 0.6337890625 0.0517578125 0.2880859375
14 0.798828125 0.6220703125 0.0498046875 0.2646484375
14 0.75 0.6083984375 0.0400390625 0.267578125
14 0.673828125 0.4169921875 0.0478515625 0.072265625
6 0.7734375 0.6064453125 0.0576171875 0.1865234375
14 0.388671875 0.43359375 0.0341796875 0.05078125
14 0.470703125 0.416015625 0.0341796875 0.0634765625
14 0.4228515625 0.4267578125 0.0419921875 0.06640625
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			`5 0.4970703125 0.56640625 0.513671875 0.759765625`
			`14 0.833984375 0.6171875 0.068359375 0.345703125`
			`14 0.931640625 0.625 0.064453125 0.330078125`
			`14 0.9716796875 0.634765625 0.0517578125 0.525390625`
			`14 0.8740234375 0.6337890625 0.0517578125 0.2880859375`
			`14 0.798828125 0.6220703125 0.0498046875 0.2646484375`
			`14 0.75 0.6083984375 0.0400390625 0.267578125`
			`14 0.673828125 0.4169921875 0.0478515625 0.072265625`
			`6 0.7734375 0.6064453125 0.0576171875 0.1865234375`
			`14 0.388671875 0.43359375 0.0341796875 0.05078125`
			`14 0.470703125 0.416015625 0.0341796875 0.0634765625`
			`14 0.4228515625 0.4267578125 0.0419921875 0.06640625`