Yolo-12-everything/datasets/train/labels/2009_000546_jpg.rf.b2b3b05257ef330ef001f03fa37f93d5.txt

4 0.3740234375 0.7119140625 0.087890625 0.474609375
4 0.2646484375 0.5498046875 0.0419921875 0.24609375
14 0.7587890625 0.5888671875 0.4775390625 0.81640625
14 0.5869140625 0.5 0.25 0.4716796875
14 0.1396484375 0.5498046875 0.2763671875 0.89453125
10 0.375 0.8408203125 0.58203125 0.3125
10 0.2451171875 0.625 0.1904296875 0.16796875
14 0.443359375 0.47265625 0.154296875 0.447265625
4 0.3427734375 0.6845703125 0.0380859375 0.4208984375
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			`4 0.3740234375 0.7119140625 0.087890625 0.474609375`
			`4 0.2646484375 0.5498046875 0.0419921875 0.24609375`
			`14 0.7587890625 0.5888671875 0.4775390625 0.81640625`
			`14 0.5869140625 0.5 0.25 0.4716796875`
			`14 0.1396484375 0.5498046875 0.2763671875 0.89453125`
			`10 0.375 0.8408203125 0.58203125 0.3125`
			`10 0.2451171875 0.625 0.1904296875 0.16796875`
			`14 0.443359375 0.47265625 0.154296875 0.447265625`
			`4 0.3427734375 0.6845703125 0.0380859375 0.4208984375`