# Lightweight image classification

An image classification model generated by HuggingPics for identifying gender (male or female) in images.

MobileNet V2 is a small, low-latency, low-power vision model specifically optimized for mobile devices

Vision Transformer model based on BEiT architecture, fine-tuned on MNIST handwritten digit dataset, achieving 99.35% accuracy

This is an image classification model based on the PyTorch framework and generated by the HuggingPics tool, specifically designed for recognizing Indian snacks.

An image classification model generated by HuggingPics, capable of recognizing animals such as dogs, ducks, geese, pigeons, and swans