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.
Deep learning empowered hand gesture recognition: using yolo tech- niques
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No single MLOps tool covers the full lifecycle, so practitioners combine tools for orchestration, data versioning, experiment tracking, and cloud platforms.
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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.
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A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights
No single MLOps tool covers the full lifecycle, so practitioners combine tools for orchestration, data versioning, experiment tracking, and cloud platforms.