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cats-vs-dogs

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This project uses OpenAI's CLIP model and a Fisher algorithm to classify cat and dog images. The dataset is split into training and testing sets, embeddings are extracted with CLIP, and the Fisher algorithm is applied to classify the images. Performance is evaluated with accuracy, precision, recall, and F1 score, visualized with a confusion matrix.

  • Updated May 24, 2024
  • Python

This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)

  • Updated Jan 11, 2018
  • Python

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