Vision Shikibetsu

Computer Vision

Image Classification

Web Application

Developed a high-performance AI image classification web app using Hugging Face's Vision Transformer and Streamlit. Achieved significant optimizations (50% faster inference, 40% VRAM reduction) for 93.7% accuracy across 1,000+ categories.

Streamlit interface showing image upload and AI classification results

Try the Classifier

Key Features

Real-time predictions: 290ms inference time (T4 GPU)
Responsive UI: Mobile-friendly design with bilingual support
Model Optimization: Quantized ViT model (720MB VRAM usage)
Educational Examples: Pre-loaded sample images for quick testing