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Image Search Results
Journal: Scientific Reports
Article Title: DeepAction: a MATLAB toolbox for automated classification of animal behavior in video
doi: 10.1038/s41598-023-29574-0
Figure Lengend Snippet: Example usage of the MATLAB apps included in the toolbox. ( A ) GUI for defining the set of behaviors in a dataset. Each behavior label corresponds to a unique keyboard key (“key”), which is used to designate the start and stop of behaviors during manual annotation. ( B ) An example of the annotation GUI used in confidence-based review to correct false classifier-produced predictions. It features tables of the complete (i.e., human annotated or reviewed) and unreviewed (i.e., classifier-annotated) clips in the project. During review, the tables include a confidence score for each clip (“score”) as well as an estimated overall accuracy for all unannotated data. Users select clips to review from the annotation tables, which are then shown in the video viewer box (top left) along with their predicted labels. Users create or correct the labels of the behaviors appearing in the video, with both annotation and video playback controlled via keyboard. Behaviors and their corresponding keystrokes are shown in the “Behavior Labels” panel. After completing the annotation of each clip, users press the “Mark Complete” button to save their progress.
Article Snippet: Finally, we release the code and
Techniques: Produced