This dataset was originally downloaded from Caltech (L. Fei-Fei, R. Fergus and P. Perona. Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. IEEE. CVPR 2004, Workshop on Generative-Model Based Vision. 2004) then organized into separated directories refering to 20 individuals with more than 8 samples.
The goal of this repository is to facilitate the teaching of deep learning classes with organized data.
Please, refer the full dataset at Caltech 101 Dataset.
This dataset was adapted to use in Machine Learning classes. The generated output image removed and the directory structure was changed.