Building a Wardrobe and Outfit Planning App with Milvus

This post details the implementation of an image similarity search system for the Stylepedia app using Milvus. It covers the system overview, breaking down the implementation into garment detection (YOLOv5), feature extraction (EfficientNet with deep metric learning), vector similarity search (Milvus with HNSW index and partitioning), and post-processing. The system vectorizes images into 512-dimensional feature vectors and uses Milvus for near real-time search on millions of vectors, enabling features like user uploads, outfit suggestions, and fashion photograph recommendations.