Yolo-12-everything/datasets/train/labels/2008_008053_jpg.rf.bd19d2812a6f3a087d79417ab5a083c8.txt

0 0.142578125 0.5654296875 0.05859375 0.060546875
0 0.255859375 0.6142578125 0.052734375 0.044921875
0 0.3603515625 0.56640625 0.060546875 0.046875
0 0.373046875 0.650390625 0.05078125 0.037109375
0 0.494140625 0.63671875 0.0546875 0.0390625
0 0.4951171875 0.6806640625 0.0390625 0.03515625
0 0.6298828125 0.6328125 0.044921875 0.041015625
0 0.646484375 0.552734375 0.056640625 0.048828125
0 0.728515625 0.5810546875 0.052734375 0.044921875
0 0.8349609375 0.544921875 0.056640625 0.0546875
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			`0 0.142578125 0.5654296875 0.05859375 0.060546875`
			`0 0.255859375 0.6142578125 0.052734375 0.044921875`
			`0 0.3603515625 0.56640625 0.060546875 0.046875`
			`0 0.373046875 0.650390625 0.05078125 0.037109375`
			`0 0.494140625 0.63671875 0.0546875 0.0390625`
			`0 0.4951171875 0.6806640625 0.0390625 0.03515625`
			`0 0.6298828125 0.6328125 0.044921875 0.041015625`
			`0 0.646484375 0.552734375 0.056640625 0.048828125`
			`0 0.728515625 0.5810546875 0.052734375 0.044921875`
			`0 0.8349609375 0.544921875 0.056640625 0.0546875`