Rendered synthetically using a library of standard 3D objects, and tests the ability to recognize compositions of object movements that require long-term reasoning.
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PSI-AVA is a dataset designed for holistic surgical scene understanding. It contains approximately 20.45 hours of the surgical procedure performed by three expert surgeons and annotations for both long-term (Phase and Step recognition) and short-term reasoning (Instrument detection and novel Atomic Action recognition) in robot-assisted radical prostatectomy videos.
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