This repository provides the winning solution to DrivenData's NaiveBees competition.
python create_training_dataset.py
put bvlc_googlenet.caffemodel in ./
Run:
./PATH_TO_CAFFE/caffe train solver ./solver.prototxt weights ./bvlc_googlenet.caffemodel
snapshots are saved every 1000 iterations to ./snapshots/
Caffe must be run upto 20000 iterations.
python create_preds.py
##Make final predictions
python create_sub.py