EndoSLAM (Endoscopic SLAM dataset)
Introduced by Ozyoruk et al. in EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
The endoscopic SLAM dataset (EndoSLAM) is a dataset for depth estimation approach for endoscopic videos. It consists of both ex-vivo and synthetically generated data. The ex-vivo part of the dataset includes standard as well as capsule endoscopy recordings. The dataset is divided into 35 sub-datasets. Specifically, 18, 5 and 12 sub-datasets exist for colon, small intestine and stomach respectively.
Source: https://github.com/CapsuleEndoscope/EndoSLAMPapers
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