Yolo-12-everything/datasets/train/labels/2008_005399_jpg.rf.3d37f630a94bc9a7e3cbe3857785beac.txt

4 0.5068359375 0.6865234375 0.08984375 0.2529296875
4 0.6025390625 0.6689453125 0.0732421875 0.2529296875
4 0.65625 0.671875 0.08984375 0.224609375
4 0.6962890625 0.6416015625 0.0732421875 0.244140625
4 0.7451171875 0.6240234375 0.080078125 0.212890625
4 0.8017578125 0.62890625 0.0693359375 0.15625
4 0.8642578125 0.60546875 0.1181640625 0.19921875
14 0.29296875 0.6552734375 0.5732421875 0.6845703125
14 0.66796875 0.333984375 0.4755859375 0.6337890625
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 0.5068359375 0.6865234375 0.08984375 0.2529296875`
			`4 0.6025390625 0.6689453125 0.0732421875 0.2529296875`
			`4 0.65625 0.671875 0.08984375 0.224609375`
			`4 0.6962890625 0.6416015625 0.0732421875 0.244140625`
			`4 0.7451171875 0.6240234375 0.080078125 0.212890625`
			`4 0.8017578125 0.62890625 0.0693359375 0.15625`
			`4 0.8642578125 0.60546875 0.1181640625 0.19921875`
			`14 0.29296875 0.6552734375 0.5732421875 0.6845703125`
			`14 0.66796875 0.333984375 0.4755859375 0.6337890625`