Yolo-12-everything/datasets/train/labels/2008_001758_jpg.rf.cef2367830a4021e33dee96f1349d101.txt

14 0.326171875 0.556640625 0.34375 0.451171875
14 0.6015625 0.5126953125 0.3515625 0.49609375
14 0.8125 0.6044921875 0.375 0.755859375
4 0.1201171875 0.6728515625 0.068359375 0.23046875
14 0.19921875 0.4599609375 0.123046875 0.271484375
14 0.0859375 0.4853515625 0.06640625 0.15625
14 0.0419921875 0.5 0.07421875 0.125
10 0.4658203125 0.8359375 0.888671875 0.328125
14 0.712890625 0.4091796875 0.068359375 0.103515625
14 0.9306640625 0.32421875 0.126953125 0.19140625
14 0.52734375 0.427734375 0.068359375 0.08203125
14 0.462890625 0.4560546875 0.044921875 0.083984375
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			`14 0.326171875 0.556640625 0.34375 0.451171875`
			`14 0.6015625 0.5126953125 0.3515625 0.49609375`
			`14 0.8125 0.6044921875 0.375 0.755859375`
			`4 0.1201171875 0.6728515625 0.068359375 0.23046875`
			`14 0.19921875 0.4599609375 0.123046875 0.271484375`
			`14 0.0859375 0.4853515625 0.06640625 0.15625`
			`14 0.0419921875 0.5 0.07421875 0.125`
			`10 0.4658203125 0.8359375 0.888671875 0.328125`
			`14 0.712890625 0.4091796875 0.068359375 0.103515625`
			`14 0.9306640625 0.32421875 0.126953125 0.19140625`
			`14 0.52734375 0.427734375 0.068359375 0.08203125`
			`14 0.462890625 0.4560546875 0.044921875 0.083984375`