Yolo-12-everything/datasets/train/labels/2007_006661_jpg.rf.2c6d672af51666efec360884ef4d67c6.txt

1 0.20703125 0.5478515625 0.1181640625 0.21875
1 0.40234375 0.5 0.0439453125 0.123046875
14 0.20703125 0.4560546875 0.1103515625 0.3427734375
14 0.3173828125 0.4462890625 0.0615234375 0.2314453125
14 0.39453125 0.4609375 0.06640625 0.189453125
1 0.3154296875 0.494140625 0.0498046875 0.123046875
14 0.52734375 0.462890625 0.0224609375 0.095703125
14 0.5009765625 0.4609375 0.0302734375 0.0927734375
14 0.4384765625 0.4306640625 0.0283203125 0.056640625
14 0.58984375 0.46875 0.0244140625 0.060546875
14 0.5615234375 0.4638671875 0.0244140625 0.0693359375
14 0.609375 0.4716796875 0.0224609375 0.072265625
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			`1 0.20703125 0.5478515625 0.1181640625 0.21875`
			`1 0.40234375 0.5 0.0439453125 0.123046875`
			`14 0.20703125 0.4560546875 0.1103515625 0.3427734375`
			`14 0.3173828125 0.4462890625 0.0615234375 0.2314453125`
			`14 0.39453125 0.4609375 0.06640625 0.189453125`
			`1 0.3154296875 0.494140625 0.0498046875 0.123046875`
			`14 0.52734375 0.462890625 0.0224609375 0.095703125`
			`14 0.5009765625 0.4609375 0.0302734375 0.0927734375`
			`14 0.4384765625 0.4306640625 0.0283203125 0.056640625`
			`14 0.58984375 0.46875 0.0244140625 0.060546875`
			`14 0.5615234375 0.4638671875 0.0244140625 0.0693359375`
			`14 0.609375 0.4716796875 0.0224609375 0.072265625`