Yolo-12-everything/datasets/train/labels/2008_001591_jpg.rf.313586d67743ab16d667e54f2298420b.txt

10 0.501953125 0.7353515625 0.99609375 0.529296875
14 0.6513671875 0.318359375 0.419921875 0.63671875
14 0.9375 0.3583984375 0.125 0.412109375
14 0.517578125 0.3046875 0.3046875 0.501953125
14 0.21875 0.3671875 0.353515625 0.498046875
14 0.0400390625 0.23828125 0.080078125 0.16015625
14 0.1025390625 0.306640625 0.154296875 0.29296875
14 0.3955078125 0.2822265625 0.1484375 0.35546875
14 0.2919921875 0.19140625 0.072265625 0.134765625
10 0.501953125 0.732421875 0.99609375 0.53515625
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 0.501953125 0.7353515625 0.99609375 0.529296875`
			`14 0.6513671875 0.318359375 0.419921875 0.63671875`
			`14 0.9375 0.3583984375 0.125 0.412109375`
			`14 0.517578125 0.3046875 0.3046875 0.501953125`
			`14 0.21875 0.3671875 0.353515625 0.498046875`
			`14 0.0400390625 0.23828125 0.080078125 0.16015625`
			`14 0.1025390625 0.306640625 0.154296875 0.29296875`
			`14 0.3955078125 0.2822265625 0.1484375 0.35546875`
			`14 0.2919921875 0.19140625 0.072265625 0.134765625`
			`10 0.501953125 0.732421875 0.99609375 0.53515625`