Dog Vision – Dog Breed Classifier

Dog Vision is a deep learning project focused on classifying dog breeds from images using convolutional neural networks (CNNs).

Built with PyTorch, the model was trained on a custom dataset of labeled dog images, leveraging data augmentation and transfer learning to improve accuracy.

The project includes a full training pipeline, visualization of model performance, and evaluation metrics to assess accuracy and loss.

This project demonstrates practical skills in computer vision, model training, and PyTorch implementation.