Classifies 200 species of birds based on the images.

Caltech-UCSD Birds-200-2011 http://www.vision.caltech.edu/visipedia/CUB-200-2011.html

1)First download the dataset and extract the folder CUB_200_2011 in the directory

2)Then run the script prepare_data.py to create a .npy file

Note: The script may take some time to run and will take a lot of computation power. So please close all the running applications and be patient.

3. Then run train.py to train the model.

@techreport{WahCUB_200_2011, Title = {{The Caltech-UCSD Birds-200-2011 Dataset}}, Author = {Wah, C. and Branson, S. and Welinder, P. and Perona, P. and Belongie, S.}, Year = {2011} Institution = {California Institute of Technology}, Number = {CNS-TR-2011-001} }