# Train

The Training step, and therefore the Training browser tab, is a bit different for each app. However, for all apps, training simply means showing parts to the vision sensor until it learns how to perform a program with confidence.

The basic training procedure looks as follows:

1. Label minimum two parts for each class, or label the parts you want to count.

   At this point, the vision sensor starts to suggest a label for new parts, or starts counting the parts. Where available, the Confidence Indicator shows how confident the vision sensor is about the suggested label.

2. Label more parts to improve the confidence of the vision sensor.

3. Continue until you are satisfied with the results.

4. Click Proceed.

Rely on the guidance text that appears in your browser under the labeling buttons to see how well you are doing. The guidance text tells you when you are ready to go on, or when you need to try something different.

## Labeling and Confidence

The bars under the labeling buttons represent the confidence the vision sensor has in correctly labeling the images. The confidence tends to improve as you label more parts. The vision sensor is well-trained once the confidence indicator can suggest labels with two or three bars.

Note: The Counter app does not have a confidence indicator, but you have to start labeling in order to make the Counter app create predictions.
Labeling and Confidence of the Anomaly Detector

Labeling and Confidence of the 2-Class Classifier

Labeling and Confidence of the 4-Class Classifier

## Additional Features of the Training Tab

- Click View to focus on the Region of Interest.

- For the Anomaly Detector, click Heat Map to highlight the areas that the vision sensor sees as an anomaly.

- For the Classifiers, click Text to show the label of the class on the live feed pane.

- Click Untrain Classifier, Untrain Anomaly Detector, or Untrain Counter to reset the training.

- For the Counter, click Text to show the number of counted objects.

- Click <number> Labeled Images to see the Image Manager window:

  Image Manager

  Element | Description
  1 | The number of images the current program of the app has been trained on so far.
  2 | Selection checkbox and Delete button. Select or deselect all images. Once at least one image is selected, you can click Delete and erase the selected images from the program. Before deletion, a pop-up asks to confirm your choice.
  3 | You can filter by labels, selecting one or more classes or counts to only show the selected category or categories. You can disable the filter by clicking X next to the filtered labels or clicking Clear All.
  4 | The date of labeling the image.
  5 | Checkbox for selecting or deselecting a given image.
  6 | Click the enlarge icon to see the image preview in a larger size.
  7 | The sort order of the images. The default order is Labeled date, oldest to latest. You can change this to sorting by latest to oldest labeled date, or sorting by Label types.