Yolo-12-everything/datasets/train/labels/2010_000792_jpg.rf.f17af82feb9f457dbf9b9d49185faf04.txt

14 0.466796875 0.7509765625 0.5576171875 0.4931640625
14 0.876953125 0.814453125 0.2421875 0.365234375
14 0.8134765625 0.765625 0.2255859375 0.4638671875
14 0.6552734375 0.658203125 0.265625 0.373046875
14 0.3056640625 0.6318359375 0.171875 0.2724609375
4 0.2724609375 0.5625 0.0322265625 0.123046875
14 0.5498046875 0.603515625 0.068359375 0.1728515625
14 0.701171875 0.4716796875 0.2216796875 0.2451171875
14 0.73046875 0.599609375 0.072265625 0.080078125
14 0.2001953125 0.8017578125 0.259765625 0.3330078125
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			`14 0.466796875 0.7509765625 0.5576171875 0.4931640625`
			`14 0.876953125 0.814453125 0.2421875 0.365234375`
			`14 0.8134765625 0.765625 0.2255859375 0.4638671875`
			`14 0.6552734375 0.658203125 0.265625 0.373046875`
			`14 0.3056640625 0.6318359375 0.171875 0.2724609375`
			`4 0.2724609375 0.5625 0.0322265625 0.123046875`
			`14 0.5498046875 0.603515625 0.068359375 0.1728515625`
			`14 0.701171875 0.4716796875 0.2216796875 0.2451171875`
			`14 0.73046875 0.599609375 0.072265625 0.080078125`
			`14 0.2001953125 0.8017578125 0.259765625 0.3330078125`