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.
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.
Image Annotation Tool for Teams
Annotate is an advanced image annotation tool supporting complex taxonomies and teamwork on computer vision projects.
Everything You Need to Know About Fashion Search
After years of experience in e-commerce, we developed the Fashion Search enabling sellers to create their own fashion product discovery systems.
OpenVINO: Start Optimizing Your TensorFlow 2 Models for Intel CPUs with Docker
Tutorial for optimizing your image recognition models with OpenVINO technology. Making your system faster with Intel CPUs.