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

Source: [The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark](<https://www.sota2.com/research/paper/68fa787e1e209131cea78aee>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T04:39:15.781Z

Authors: Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy

Published: 2023-12-19T18:56:44.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [CVS Assessment on Surgical Video Dataset](<https://www.sota2.com/research/sota/cvs-assessment-on-surgical-video-dataset.md>): CVS Assessment; Surgical Video Dataset; C1 Score: 46.4.

- [Critical View of Safety recognition on EndoScapes-CVS201 (test)](<https://www.sota2.com/research/sota/critical-view-of-safety-recognition-on-endoscapes-cvs201-test.md>): Critical View of Safety recognition; EndoScapes-CVS201 (test); mAP: 57.4.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2312.12429>)

[PDF](<https://arxiv.org/pdf/2312.12429.pdf>)