Reverse image search helps you search for similar or related images given an input image. Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a query image that it will then base its search upon.
This reverse image search example mainly consists of two notebooks, and I think everyone can learn the basic operations of Towhee and Milvus through the getting started notebook. And the deep dive notebook will show you how to improve performance and deploy the service.
In this notebook you will get the prerequisites, how to complete a simple image system search and visualize results, and how to evaluate system performance with selected metric.
In this notebook you will learn how to normalize embeddings, apply object detection, and reduce embedding dimension. There is also a section starting a simple online demo using Gradio.