Fine-grained Visual Recognition
- Classes : 196 classes
- Total dataset : 16,185 images
- Type of image : Car
- Classes : 102 different aircraft model variants
- Total dataset : 10,200 images of aircraft, with 100 images for each variants
- Type of image : Aircraft
CUB-200-2011 (Caltech-UCSD Birds-200-2011)
- Classes : 200 subcategories belonging to birds
- Total dataset : 11,788 images
- Type of image : Birds
- Classes : 37
- Total dataset : 7400 (200 images for each class.)
- Type of image : Pets
Oxford 102 Flower (102 Category Flower Dataset)
- Classes : 102
- Total dataset : _ (class consists of between 40 and 258 images.)
- Type of image : Flowers