# Pet Image Classification

This is a cat and dog image classification model trained using AutoTrain, designed to distinguish between cats and dogs in images.

This is an image classification model built with PyTorch and HuggingPics, specifically designed for recognizing rare dog breeds.

This is an image classification model based on the PyTorch framework, specifically designed to identify rare dog breeds.

A cat vs. dog classification model based on CLIP-ViT-Large, achieving 60.95% accuracy on the evaluation set

An image classification model automatically generated by HuggingPics, specifically designed to identify rare dog breeds.

A binary classification model trained with AutoTrain, capable of accurately distinguishing between images of cats and dogs

A dog breed image classification model based on PyTorch and HuggingPics, achieving an accuracy of 95.52%.

This is an image classification model based on the PyTorch framework and generated using the HuggingPics tool, specifically designed for identifying rare dog breeds.

An image classification model built with PyTorch and HuggingPics, specifically designed for identifying rare dog breeds.

This is an image classification model built with PyTorch and HuggingPics, specifically designed to identify rare dog breeds.

A Vision Transformer model fine-tuned on a cats vs. dogs classification dataset based on Google's ViT base model, achieving 98.83% accuracy