Dogs vs Cats Classifier

A Convolutional Neural Network (CNN) project to classify images of dogs and cats.

Dataset

The dataset consists of images of dogs and cats, divided into training and test sets.

• Training set: Images used to train the model.
• Test set: Images used to evaluate the model.

Installation

1. Clone the repository:

git clone https://github.com/SwathiPriya37/dogs-vs-cats_classifier.git
cd dogs-vs-cats_classifier

2. Install the required packages:

pip install -r requirements.txt

3. How to Run

• Open the notebook:

jupyter notebook dogs-vs-cats_classifier.ipynb

• Follow the steps to train and evaluate the model.
• You can visualize predictions using plt.imshow() for test images.

Requirements

• Python 3.x
• TensorFlow / Keras
• OpenCV
• NumPy
• Matplotlib

Author

Swathi Priya R