back Existing annotations

Using existing annotations to obtain training data.

This method allows you to choose existing annotations in the same volume as training data for the object detection stage. All annotations will be converted to circles and the new MAIA job will immediately proceed to the object detection stage.

Configurable parameters

To show the configurable parameters, click on the Show advanced parameters button below the form.

Restrict to labels

By default, all annotations are used.

Use the input field to select one or more labels. If present, only annotations with the chosen labels are used as training data for the MAIA job. If no labels are chosen, all annotations are used.

Show training proposals

Off by default.

Show the existing annotations as selectable training proposals before continuing to the object detection stage. This allows you to select only a subset of the existing annotations as training data (regardless their label).

Further reading

• An introduction to the Machine Learning Assisted Image Annotation method (MAIA).
• Using novelty detection to obtain training data.
• Using knowledge transfer to obtain training data.
• Reviewing the training proposals from novelty detection.
• The automatic object detection.
• Reviewing the annotation candidates from object detection.