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.

Image recognition of furniture and plants

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.

Read more July 2021

Image Annotation Tool for Teams

Annotate is an advanced image annotation tool supporting complex taxonomies and teamwork on computer vision projects.

Read more May 2021
Fashion Search by Ximilar

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.

Read more April 2021
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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.

Read more February 2021

Train Your Own Machine Learning Models With Video Tutorials

Video tutorials for building custom image recognition models, using fashion tagging and search services with Ximilar App platform.

Read more November 2020
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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.

Read more November 2020
Car detection by Ximilar

How to Train an Object Detection Model With One Click

Define, optimize and deploy to API your custom object detection model without coding.

Read more September 2020
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Evaluation on an Independent Dataset for Image Recognition

Monitor the performance of your custom models on test dataset with Ximilar platform.

Read more August 2020
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The Best Resources on Artificial Intelligence and Machine Learning

List of great books, podcasts, magazines, lectures, blogs & papers from the field of AI, Data Science, and Machine Learning.

Read more July 2020