How the behaviors are classified

Behavior annotation in SmartAnnotator consists of the following steps:

1. The top view videos are preliminary annotated with the Rat Behavior Recognition Module or Mouse Behavior Recognition Module of Ethovision XT version ***
   See the section Behavior Recognition Requirements in the EthoVision XT Help for the best practices for camera setup, arena setup and detection settings.
2. Upon selection of the behaviors to annotate, SmartAnnotator divides the videos intomakes fragments, each with a separate event, based on the automatic behavior classification in EthoVision XTXT.
3. TheVideo behaviors for which the model expects to get the most valuable informationfragments are shown to the user, tofor manuallymanual annotate.annotation. 
4. The AI model is updated with these manual annotations. 
5. Steps 3 and 4 are repeated until the classifier reaches an accuracy threshold.
6.  The resulting classifier is applied to all unlabeledevents events,that are not yet annotated, giving these an automatic labelannotation if the model is certain enough.
7. The AI model picks a number of unlabeled eventsEvents that are most informative for the classifier, andare gives themshown to the useruser, for manual labelingannotation. 
8. Steps 3-7 are repeated, until all events are annotated.