Yolo-12-everything/datasets/train/labels/2008_001591_jpg.rf.cff55b011e983f1cf7aff6e9bf53f7c9.txt

10 0.4990234375 0.755859375 0.998046875 0.482421875
14 0.3310546875 0.318359375 0.365234375 0.63671875
14 0.0478515625 0.3974609375 0.095703125 0.4052734375
14 0.4658203125 0.306640625 0.263671875 0.48046875
14 0.7685546875 0.3427734375 0.314453125 0.4716796875
14 0.935546875 0.2001953125 0.068359375 0.154296875
14 0.87890625 0.2724609375 0.1298828125 0.2822265625
14 0.5849609375 0.2744140625 0.1181640625 0.3466796875
14 0.6806640625 0.1748046875 0.0615234375 0.130859375
10 0.4990234375 0.7529296875 0.998046875 0.48828125
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 0.4990234375 0.755859375 0.998046875 0.482421875`
			`14 0.3310546875 0.318359375 0.365234375 0.63671875`
			`14 0.0478515625 0.3974609375 0.095703125 0.4052734375`
			`14 0.4658203125 0.306640625 0.263671875 0.48046875`
			`14 0.7685546875 0.3427734375 0.314453125 0.4716796875`
			`14 0.935546875 0.2001953125 0.068359375 0.154296875`
			`14 0.87890625 0.2724609375 0.1298828125 0.2822265625`
			`14 0.5849609375 0.2744140625 0.1181640625 0.3466796875`
			`14 0.6806640625 0.1748046875 0.0615234375 0.130859375`
			`10 0.4990234375 0.7529296875 0.998046875 0.48828125`