Yolo-12-everything/datasets/train/labels/2008_003280_jpg.rf.b0e7aeefd9626a82c166c7cf323dfb9f.txt

19 0.6728515625 0.427734375 0.12890625 0.171875
19 0.7734375 0.43359375 0.107421875 0.19140625
19 0.3349609375 0.3916015625 0.060546875 0.072265625
14 0.490234375 0.623046875 0.552734375 0.5234375
14 0.1962890625 0.44921875 0.208984375 0.193359375
8 0.3212890625 0.75390625 0.34375 0.35546875
8 0.1630859375 0.6142578125 0.19921875 0.23046875
4 0.904296875 0.5888671875 0.05859375 0.125
4 0.923828125 0.578125 0.044921875 0.1171875
4 0.244140625 0.45703125 0.03515625 0.056640625
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			`19 0.6728515625 0.427734375 0.12890625 0.171875`
			`19 0.7734375 0.43359375 0.107421875 0.19140625`
			`19 0.3349609375 0.3916015625 0.060546875 0.072265625`
			`14 0.490234375 0.623046875 0.552734375 0.5234375`
			`14 0.1962890625 0.44921875 0.208984375 0.193359375`
			`8 0.3212890625 0.75390625 0.34375 0.35546875`
			`8 0.1630859375 0.6142578125 0.19921875 0.23046875`
			`4 0.904296875 0.5888671875 0.05859375 0.125`
			`4 0.923828125 0.578125 0.044921875 0.1171875`
			`4 0.244140625 0.45703125 0.03515625 0.056640625`