IBM Watson Studio provides access to the Watson Visual Recognition service that provides a choice of base models for general image recognition, face model, food model, and more. These models can then be extended using either an easy-to-use drag and drop interface that is part of Watson Studio or a programming interface for Curl, NodeJS, Java or Python.

Train Custom Models on Watson Visual Recognition and Deploy on Core ML

2 minute demo

This video shows the Visual Recognition model builder available in Watson Studio. You'll see that a visual recognition model can be created without technical expertise.

Create, Train, and Test a Visual Recognition Model in Watson Studio

3 minute demo

In this video, you'll see how easy it is to create a visual recognition model.

Retraining a Visual Recognition model

2 minute demo

This video shows how a model can be updated and retrained using new classes and negative images.

Product Tour of IBM Watson Studio Visual Recognition

Want to see for yourself? Take a short test drive of IBM Watson Studio Visual Recognition to introduce you to the product. You'll be able to:

  • Create a visual recognition model
  • Add image classes to the model and train it
  • Test the model with additional images

5-15 minutes introduction

Hands-on Lab for IBM Watson Studio Visual Recognition

Ready to explore more? Visit IBM Cloud to get started with IBM Watson Studio Visual Recognition. Once you've signed up, you can use the following tutorials to get a deeper dive into the capabilities of IBM Watson Studio Visual Recognition.