Computer Vision
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.
Image Upscaler: API for Super-Resolution Image Enhancing
Enhance your images’ resolution without losing quality with a powerful Image Upscaler based on visual AI.
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.
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.
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.
Behind The Scene: Ximilar and Intel AI Builders Program
Becoming a partner with Intel AI helps us with scaling our SaaS platform for image recognition and visual search.
Advanced Options for Machine Learning Model Training
Improve your custom recognition & detection models from Ximilar App with advanced training options, including augmentations of the images.
How to Train an Object Detection Model With One Click
Define, optimize and deploy to API your custom object detection model without coding.