Yolo-12-everything/datasets/train/labels/2008_004892_jpg.rf.ed6b6c1e7e4bd69fe032ef79df826423.txt

12 0.162109375 0.6181640625 0.248046875 0.671875
12 0.357421875 0.6181640625 0.1953125 0.609375
12 0.486328125 0.626953125 0.16796875 0.64453125
12 0.6611328125 0.6103515625 0.169921875 0.5859375
12 0.8203125 0.578125 0.15234375 0.615234375
12 0.927734375 0.6552734375 0.140625 0.58984375
14 0.11328125 0.4111328125 0.1953125 0.41796875
14 0.3203125 0.421875 0.1640625 0.390625
14 0.4677734375 0.388671875 0.17578125 0.341796875
14 0.6005859375 0.4052734375 0.12890625 0.28125
14 0.7724609375 0.3837890625 0.14453125 0.369140625
14 0.9091796875 0.4345703125 0.177734375 0.453125
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			`12 0.162109375 0.6181640625 0.248046875 0.671875`
			`12 0.357421875 0.6181640625 0.1953125 0.609375`
			`12 0.486328125 0.626953125 0.16796875 0.64453125`
			`12 0.6611328125 0.6103515625 0.169921875 0.5859375`
			`12 0.8203125 0.578125 0.15234375 0.615234375`
			`12 0.927734375 0.6552734375 0.140625 0.58984375`
			`14 0.11328125 0.4111328125 0.1953125 0.41796875`
			`14 0.3203125 0.421875 0.1640625 0.390625`
			`14 0.4677734375 0.388671875 0.17578125 0.341796875`
			`14 0.6005859375 0.4052734375 0.12890625 0.28125`
			`14 0.7724609375 0.3837890625 0.14453125 0.369140625`
			`14 0.9091796875 0.4345703125 0.177734375 0.453125`