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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.
Tutorial for deploying Image Recognition models trained with TensorFlow to your smartphone and edge devices.
With the new tagging tasks, you are able to create even more powerful custom deep learning models and deploy them as API.
New features for evaluating image recognition models in the Ximilar App platform. Confusion matrix, failed images and fancy charts included!
Machine learning model is an algorithm used to build visual AI solutions. This article explains the basics using analogy to human brain.
Tutorial for using Ximilar Image Recognition service for creating AI/neural network model for categorization without coding.
Visualize and test your custom machine learning models and Ximilar AI services on images. Online via browser.
Learn the differences between general and custom image recognition platforms and discover which is best for your specific visual needs.
Several useful tips for image data preparation when building your own machine learning models for visual artificial intelligence solution.
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