Yolo-12-everything/datasets/train/labels/2008_002578_jpg.rf.5d4378bf9cabbb55f630249d05c1f5c1.txt

14 0.84765625 0.3818359375 0.158203125 0.361328125
14 0.751953125 0.3427734375 0.119140625 0.384765625
14 0.5810546875 0.2880859375 0.103515625 0.28515625
14 0.890625 0.6416015625 0.201171875 0.38671875
14 0.75390625 0.658203125 0.197265625 0.4296875
14 0.6982421875 0.4306640625 0.14453125 0.232421875
14 0.5771484375 0.552734375 0.16796875 0.427734375
14 0.4462890625 0.5361328125 0.181640625 0.423828125
14 0.6552734375 0.2724609375 0.125 0.275390625
14 0.498046875 0.2724609375 0.119140625 0.27734375
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 0.84765625 0.3818359375 0.158203125 0.361328125`
			`14 0.751953125 0.3427734375 0.119140625 0.384765625`
			`14 0.5810546875 0.2880859375 0.103515625 0.28515625`
			`14 0.890625 0.6416015625 0.201171875 0.38671875`
			`14 0.75390625 0.658203125 0.197265625 0.4296875`
			`14 0.6982421875 0.4306640625 0.14453125 0.232421875`
			`14 0.5771484375 0.552734375 0.16796875 0.427734375`
			`14 0.4462890625 0.5361328125 0.181640625 0.423828125`
			`14 0.6552734375 0.2724609375 0.125 0.275390625`
			`14 0.498046875 0.2724609375 0.119140625 0.27734375`