Food logo detection plays an important role in multimedia due to its wide range of practical applications, such as food recommendations in self-service stores and infringement detection on e-commerce platforms. However, there is currently no food logo dataset that contains food brand information. To support the work of food logo detection, the research team launched the dataset FoodLogoDet-1500, which consists of 1,500 categories, 99,768 images, and 145,400 objects. This is the first and largest publicly available high-quality dataset for food logo detection.