Classifying cat and dog images using Kaggle dataset

Last update: Nov 22, 2022

Overview

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.

Owner

Robert Coleman

GitHub Repository

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