Yolo-12-everything/datasets/train/labels/2009_003154_jpg.rf.bde9fb983ecf7c704f9bedb759b45bf3.txt

10 0.4775390625 0.77734375 0.65234375 0.4189453125
14 0.130859375 0.6318359375 0.25390625 0.73046875
14 0.27734375 0.4677734375 0.23828125 0.4609375
14 0.8134765625 0.654296875 0.3701171875 0.685546875
14 0.7099609375 0.576171875 0.1923828125 0.416015625
4 0.4345703125 0.5703125 0.0537109375 0.1337890625
4 0.470703125 0.5517578125 0.0302734375 0.1279296875
4 0.4140625 0.5478515625 0.01953125 0.1416015625
4 0.44140625 0.4814453125 0.0224609375 0.0341796875
4 0.421875 0.482421875 0.0244140625 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			`10 0.4775390625 0.77734375 0.65234375 0.4189453125`
			`14 0.130859375 0.6318359375 0.25390625 0.73046875`
			`14 0.27734375 0.4677734375 0.23828125 0.4609375`
			`14 0.8134765625 0.654296875 0.3701171875 0.685546875`
			`14 0.7099609375 0.576171875 0.1923828125 0.416015625`
			`4 0.4345703125 0.5703125 0.0537109375 0.1337890625`
			`4 0.470703125 0.5517578125 0.0302734375 0.1279296875`
			`4 0.4140625 0.5478515625 0.01953125 0.1416015625`
			`4 0.44140625 0.4814453125 0.0224609375 0.0341796875`
			`4 0.421875 0.482421875 0.0244140625 0.037109375`