# High Accuracy Image Classification

ResNet34 image classification model trained on the CIFAR-100 dataset, achieving a test accuracy of 79.78%.

This is an image classification model automatically generated by HuggingPics, capable of classifying images of cats and dogs.

An image classification model based on PyTorch, specifically designed to identify different breeds of rare dogs.

A Vision Transformer-based Avengers character classification model achieving 86.83% accuracy on image classification tasks