3,000 logo categories across 158,652 images featuring 194,298 manually annotated bounding boxes. The dataset is organized into a hierarchy of common consumer sectors such as food, clothes, and electronics.
Use Cases
- Train object detection models using the bounding box coordinates and class labels
- Perform fine-grained classification across 3,000 brand categories
- Develop brand verification systems by detecting logos in complex real-world backgrounds
Strengths
- 3,000 distinct logo categories
- 194,298 bounding box annotations
- 158,652 high-resolution images
- Hierarchical labels covering industries like Food, Clothes, and Electronics