Interesting Datasets:

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

Fisheye

• WoodScape - A multi-task, multi-camera fisheye dataset for autonomous driving

• SynWoodScape - A multi-task, multi-camera synthetic fisheye dataset for autonomous driving

• 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 viewpoint 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")

• Zillow Indoor Dataset (ZInD) - Annotated Floor Plans With 360º Panoramas and 3D Room Layouts

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