Fake/Real Logo Detection Dataset.

A fake/real logo detection dataset is a collection of images and labels designed for training and evaluating machine learning models to distinguish between authentic (real) and counterfeit (fake) logos or brand marks..

伪造/真实标志检测数据集是一组旨在训练和评估机器学习模型以区分真实（正品）与伪造（赝品）标志或品牌标识的图像及其标签集合。