Interesting Datasets:

To aid authors in submission of high quality papers, here we provide reference to some interesting and relevant datasets.

Fisheye

• WoodScape - A multi-task, multi-camera fisheye dataset for autonomous driving - to be released in Q4 2020
• Large-Scale Direct SLAM for Omnidirectional Cameras Dataset
• LMS Fisheye Data Set - A data set providing synthetic and real-world fisheye video sequences
• "GO Stanford" Dataset - Dataset of fisheye images from the view point of the mobile robot
• Fisheye video dataset for vehicle classification
• PIROPO Database - People in Indoor ROoms with Perspective and Omnidirectional cameras

360 Camera

• VCL 360-Dataset - 360° color images of indoor scenes along with their corresponding ground truth depth annotations
• VCL 3D60 Dataset - 3D Vision Indoors Spherical Panoramas
• FTV 360 - Multi-view video datasets based on 360° cameras for Free Viewpoint Television
• Ford Campus Vision and Lidar Data Set - omnidirectional dataset collected by an autonomous ground vehicle testbed
• UT Snap Angle 360° Dataset - Youtube 360° video dataset
• SVMIS: Spherical Vision dataset of the MIS laboratory - 360° wingdrone dataset
• Stanford 2D-3DS - Collection of 360° indoor scenes rendered from Matterport scans
• Matterport3D - Big collection of 360° indoor scenes rendered from Matterport scans (as cube maps aka "skybox")

Catadioptric

• Catadioptric camera video dataset for vehicle classification
• Catadioptric RGB-D stereo dataset - High-resolution Omnidirectional dataset captured with a stereo pair of catadioptric cameras
• OVMIS : Omnidirectional Vision dataset of the MIS laboratory