ESAD (SARAS Endoscopic Surgeon Action Detection)
Introduced by Bawa et al. in The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
ESAD is a large-scale dataset designed to tackle the problem of surgeon action detection in endoscopic minimally invasive surgery. ESAD aims at contributing to increase the effectiveness and reliability of surgical assistant robots by realistically testing their awareness of the actions performed by a surgeon. The dataset provides bounding box annotation for 21 action classes on real endoscopic video frames captured during prostatectomy, and was used as the basis of a recent MIDL 2020 challenge.
Source: ESAD: Endoscopic Surgeon Action Detection DatasetPapers
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