Skip to content

Latest commit

 

History

History
17 lines (10 loc) · 548 Bytes

README.md

File metadata and controls

17 lines (10 loc) · 548 Bytes

Cats vs. Dogs Image Classification

This project showcases image classification of cats and dogs using a CNN. It includes data preprocessing, model building, training, and evaluation.

Overview

We've trained a model to classify images of cats and dogs with impressive results:

  • Precision: 92%
  • Recall: 96%
  • Accuracy: 94%

Usage

  1. Data Preparation: Ensure your dataset contains separate directories for cats and dogs.

  2. Model Training: Run the provided script to train the model. Adjust data paths and parameters as needed.