HandyLabel enables real-time data annotation by mapping hand gestures to labels, with ResNet50 on skeleton-preprocessed HaGRID data reaching 0.923 F1-score and 88.9% of 46 study participants preferring it to traditional post-processing tools.
The challenge of data annotation in deep learning—a case study on whole plant corn silage.Sensors, 22(4):1596
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HandyLabel: Towards Post-Processing to Real-Time Annotation Using Skeleton Based Hand Gesture Recognition
HandyLabel enables real-time data annotation by mapping hand gestures to labels, with ResNet50 on skeleton-preprocessed HaGRID data reaching 0.923 F1-score and 88.9% of 46 study participants preferring it to traditional post-processing tools.