Guides

Knowledge sharing is one of our key values. Read guides on how to train your own image recognition, tagging, and object detection models, and level up your customer experience with Visual AI.

Our visual engine allows us to combine several features for multimedia search with advanced filtering.

How to Build a Good Visual Search Engine?

Let's take a closer look at the technology behind visual search and the key components of visual search engines.

Pokémon TCG Search Engine: Use AI to Catch Them All

With a new custom image similarity service, we are able to build an image search engine for collectible cards trading.

How to Convert a Video Into a Streaming Format?

A comprehensive tutorial for converting a .mp4 .mkv or .mov videos to the streaming formats (HLS or DASH) with Python and FFmpeg.

Explainable AI: What is My Image Recognition Model Looking At?

With the AI Explainability in Ximilar App, you can see which parts of your images are the most important to your image recognition models.

Ximilar Introduces a Brand New App

Ximilar introduces a new user interface for training custom image recognition, object detection and similarity search.

How to deploy object detection on Nvidia Jetson Nano

We developed a computer vision system for object detection, counting, and tracking on Nvidia Jetson Nano.

Flows – The Game Changer for Next-generation AI Systems

Flows is a service for combining machine learning models for image recognition, object detection and other AI services into API.

Image Similarity as a Service For Your Web

A step-by-step guide for using image similarity as a service. Find similar items with accurate & fast API for Image Search.

How to Build Your Own Image Recognition API?

Tips and tricks for developing and improving your custom image recognition models and deploying them as API with the Ximilar platform.