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PyTorch Image Classification

Classifies an image as containing either a dog or a cat (using Kaggle's public dataset), but could easily be extended to other image classification problems.

Dependencies:

  • PyTorch / Torchvision
  • Numpy
  • PIL
  • CUDA

Data

The data directory structure I used was:

  • project
    • data
      • train
        • dogs
        • cats
      • validation
        • dogs
        • cats
      • test
        • test

Performance

The result of the notebook in this repo produced a log loss score on Kaggle's hidden dataset of 0.04988 -- further gains can probably be achieved by creating an ensemble of classifiers using this approach.