Creating Visual Recognition custom models

You can create IBM Watson Visual Recognition custom models, trained with your own images, to suit your specific visual recognition needs. This topic describes how to use the Visual Recognition model builder in IBM Watson Studio to create a custom model.

 

Before you begin

Set up your project to use the Visual Recognition model builder.

 

Procedure

  1. Prepare your images
    Collect a minimum of 10 images for each class in .zip files, and then upload them to your project.
     
  2. Train your custom model
    In the Visual Recognition model builder, define your classes and add images.
     
  3. Test your trained model
    After your model is trained, you can use the Test area of the model builder to classify test images using your custom model.
     
  4. (Optional) Retrain your model
    You can improve the performance of your model by adding or removing training images and then retraining the model.
     

 

Demonstration

Watch this video to see how to create, train, and test a visual recognition custom model.

Figure 1. Video icon Create, train, and test a visual recognition custom model
This video will demonstrate how to create, train, and test a visual recognition custom model.

 

Next steps