##Bird Species Classification

• Second place in Kaggle contest
• Les Bricoleurs: Dima Kamalov, Matt Wescott

####Hardware / OS

• M3.2XLarge instance on Amazon EC2
  • 8 virtual cpu
  • 26 gb ram
  • Intel Xeon E5-2670
• Ubuntu 12.04, 64 bit, Server Edition

####Dependencies

• numpy/scipy
• pandas
• scikit-learn

####Installation Instructions (from fresh EC2 instance)

1. sudo apt-get update
2. sudo apt-get install git
3. sudo apt-get install python-pip python-dev build-essential libblas-dev liblapack-dev gfortran
4. sudo pip install virtualenv
5. git clone git@github.com:mattwescott/bird-recognition.git
6. cd bird-recognition
7. Get the data
8. Edit paths in SETTINGS.json to point to the data
9. virtualenv venv
10. source venv/bin/activate
11. pip install -r requirements.txt

####Generate Kaggle submission

• python create_submission.py (~4 hours runtime)

####Predict on new test set

• Not implemented