Depending on the features and the number of classes, the Locator tool might need more images with features to learn from.

To add more images, do the following:

1. Click Label to go to the labeling Labeling is the process of marking features or defects in images, or categorizing the images into classes. Labeling is crucial for training Deep Learning Lite and Deep Learning Standard tools because the labels serve as training material to guide the tools how to function correctly. step.

2. Optional: Select Deep Learning Lite - Accurate for the Training mode if you have Deep Learning Lite - Few Sample selected.

   It is necessary to use the Deep Learning Lite - Accurate training mode if you have a large set of images.

3. Find more images in the view panel that include features in greater variance and label the features.

   For example, if you want to locate a certain defect, try to include images where the same defect appears in different shapes.

4. Click Train to go to the training step.

5. Click Auto-Assign Roles to assign roles to the new images.

6. Click Train Model.