The CALTECH 101 dataset by Li Fei-Fei contains images for 101 categories with about 40 to 800 images per category. Most categories have about 50 images at roughly 300 x 200 pixels. Interesting note, Andrea Vedaldi has single Matlab script for evaluating the CALTECH 101 classes using PHOW features and SVM classification.Pictures of objects belonging to 101 categories.

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