This project showcases image classification of cats and dogs using a CNN. It includes data preprocessing, model building, training, and evaluation.
We've trained a model to classify images of cats and dogs with impressive results:
- Precision: 92%
- Recall: 96%
- Accuracy: 94%
-
Data Preparation: Ensure your dataset contains separate directories for cats and dogs.
-
Model Training: Run the provided script to train the model. Adjust data paths and parameters as needed.