The Pose Data Annotator is a handy desktop app for seamless Vision analysis of body, hand and face landmarks for applied tasks such as sign language recognition, action classification, and more. The app makes it easy to annotate both single videos and large datasets, and output the data in a standardized CSV file for any further work. The properties of the analyses are highly customizable and will fit your specific research use-cases!
BACKBONE
The backbone of the body, hand, and face pose analysis is built on top of the Vision framework by Apple. We have found it to be working significantly better and more efficiently than the other publicly available frameworks (such as OpenPose or Mediapipe).
DATA FORMAT
The data is saved in a custom data format into a .csv file. The app will also support other data annotations formats in the future. Some conversion scripts may also be available in our GitHub repository.
CONTIBUTIONS
Any contribution is highly encouraged and welcome! Our app is an open-source project, thus you can look at our GitHub repository, create your own modifications, or even submit a merge request to the original project.
