Cat vs Dog Classifier

Category : AI Model

Client : My university Project

Description : Built a convolutional neural network to classify images of cats and dogs with high accuracy, demonstrating image classification skills. This model was trained on a dataset of 25,000 images and achieves near-human accuracy.

Technologies : Python, TensorFlow, PyTorch, NumPy, Pandas, OpenCV, scikit-image.

Accuracy : 89%

Classes : 2

Avg. Inference : 0.5s

Project URL : GitHub Repository

Project date : 2025/07/04