naivebees

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NaiveBees

This repository provides the winning solution to DrivenData's NaiveBees competition.

Create training file list

python create_training_dataset.py 

Run caffe

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.

Create test predictions

python create_preds.py 

##Make final predictions

python create_sub.py