SCARED-C
收藏Mendeley Data2026-04-09 收录
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https://data.mendeley.com/datasets/hwb9rn9w9h
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资源简介：
The dataset SCARED-C is introduced in the context of assessing robustness in endoscopic depth prediction models. It is part of the EndoDepth benchmark, which is designed to evaluate the performance of monocular depth prediction models specifically for endoscopic scenarios. The dataset features 16 different types of image corruptions, each with five levels of severity, encompassing challenges like lens distortion, resolution alterations, specular reflection, and color changes that are typical in endoscopic imaging. The ground truth is on the original testing set of SCARED.
The purpose of SCARED-C is to test the robustness of depth estimation models by exposing them to various common endoscopic corruptions. This dataset is a valuable tool for developing and evaluating depth prediction algorithms that can handle the unique challenges presented by endoscopic procedures, ensuring more accurate and reliable outcomes in medical imaging.
提供机构：
Instituto Tecnologico y de Estudios Superiores de Monterrey; Universite de Lorraine; Universidad Panamericana - Aguascalientes; Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional Unidad Guadalajara
