Logo-matching covers more than 200 logo images and labels of different brands and organizations. Each image is accurately annotated to ensure the high quality of the data; the label is a sequence containing the names of 208 categories, covering entities in multiple fields such as companies, organizations, media, etc. The dataset is divided into training set, validation set and test set, containing 1077, 248 and 258 samples respectively.

The diversity of the dataset makes it suitable for tasks such as image classification and brand recognition, while its moderate size makes it convenient for researchers to conduct rapid experiments and verification.