  This technical report provides a detailed overview of Endoscapes, a dataset
of laparoscopic cholecystectomy (LC) videos with highly intricate annotations
targeted at automated assessment of the Critical View of Safety (CVS).
Endoscapes comprises 201 LC videos with frames annotated sparsely but regularly
with segmentation masks, bounding boxes, and CVS assessment by three different
clinical experts. Altogether, there are 11090 frames annotated with CVS and
1933 frames annotated with tool and anatomy bounding boxes from the 201 videos,
as well as an additional 422 frames from 50 of the 201 videos annotated with
tool and anatomy segmentation masks. In this report, we provide detailed
dataset statistics (size, class distribution, dataset splits, etc.) and a
comprehensive performance benchmark for instance segmentation, object
detection, and CVS prediction. The dataset and model checkpoints are publically
available at https://github.com/CAMMA-public/Endoscapes.
