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This technical report provides a detailed overview of Endoscapes, a datasetof laparoscopic cholecystectomy (LC) videos with highly intricate annotationstargeted at automated assessment of the Critical View of Safety (CVS).Endoscapes comprises 201 LC videos with frames annotated sparsely but regularlywith segmentation masks, bounding boxes, and CVS assessment by three differentclinical experts. Altogether, there are 11090 frames annotated with CVS and1933 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 withtool and anatomy segmentation masks. In this report, we provide detaileddataset statistics (size, class distribution, dataset splits, etc.) and acomprehensive performance benchmark for instance segmentation, objectdetection, and CVS prediction. The dataset and model checkpoints are publicallyavailable at https://github.com/CAMMA-public/Endoscapes.

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark