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README.md

kaggle-planet

Code for the Kaggle Understanding the Planet from Space Competition.

Overview

  • This was a team effort with Grant Bruer.
  • The final solution ranked 103rd of ~970 teams (top 11 percent).
  • The final solution was a small ensemble of ResNets and DenseNets using test-time augmentation and some trickery to weight the ensemble votes for each image. This was not terribly different from the winning solution, though the winner did use a neat de-hazing trick which was described on the Kaggle discussions. In the end there was not much gain in using an ensemble. IIRC, you could get 91% accuracy with a simple 8-10 layer conv-net. This is referred to as "Goddard" in our repository.
  • The repository is fairly messy; all of the models are convolutional networks implemented in Keras.
  • Grant and I made a Google Doc outlining some of the things we learned

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Code for the Kaggle Understanding the Planet from Space Competition.

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