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  1. Learn how to use Watson Visual Recognition to analyze images and extract insights from them. Explore the component's features, documentation, tutorials, and code samples on IBM Developer.

  2. Mar 17, 2017 · The IBM Watson Visual Recognition service enables your applications to turn images into actionable data. You can obviously use it to tag images for content, recognize faces, and find similar images, but that’s not all it can do.

  3. Mar 15, 2018 · Learn how the IBM Watson Visual Recognition service has been updated to generate deep learning neural net based classifiers for new Custom Classifier model trainings. Find out how this may affect the training time and compatibility of existing custom classifiers.

  4. This badge earner has demonstrated an understanding of the use and functions of the Visual Recognition service. They can articulate the functions of the Visual Recognition service, and articulate the considerations for training custom models in the service.

  5. The IBM Watson Visual Recognition V4 service uses deep learning algorithms to analyze images (.jpg or .png) for scenes, objects, text, and other content, and return keywords that provide information about that content.

  6. Apr 11, 2018 · Want to quickly and accurately tag, classify and train visual content using machine learning? We’ve compiled a list of tutorials, tips, and resources below to get started with Watson Visual

  7. Jan 26, 2019 · Learn how to use the IBM Watson Visual Recognition service to classify general images and custom categories using Python. Follow the steps to create an account, generate credentials, install modules, and access the API.