Image search is one of the core ideas behind many different technologies, from autonomous cars recognizing objects to iPhones recognizing the correct user. Here you will find how one can easily empower their vision programs using Milvus.
In this notebook we will be going over the code required to perform reverse image search. This example uses Towhee to extract image features that are then used with Milvus to build a system that can perform the searches.
If you want to learn how to use various models and evaluate recall metrics, also providing object detection method. You can refer this tutorial.
Here is the quick start for a deployable version of a reverse image search. And you can also run with Docker in one step.
In addition, there is quick start about image similarity search with object detection.