Image Retrieval System Using Vision Transformer and FAISS with GUI - Tutorial 351

Learn to build a powerful content-based image retrieval system in this 11-minute tutorial that demonstrates how to combine Vision Transformer (ViT) and FAISS technologies with a user-friendly graphical interface. Master the implementation of a cross-platform Python application that leverages ViT-B/16 pre-trained models for feature extraction and FAISS IVF indexing for efficient similarity searches. Explore the development of an interactive GUI that supports batch operations, multiple image formats (PNG, JPG, JPEG, WebP), and provides convenient features like double-click image opening and folder access. Discover how to incorporate optional GPU acceleration for enhanced processing speed while ensuring compatibility across Windows, macOS, and Linux operating systems. Follow along with practical code examples and implementation guidance for both GUI and programmatic API approaches to image retrieval.