In this work we present a large-scale analysis of stereoscopic quality for 1,000 VR180 YouTube videos. VR180 is a new S3D format for VR devices which stores the view for only a single hemisphere. Instead of a multi-camera rig, this format requires just two cameras with fisheye lenses
similar to conventional 3D-shooting, resulting in cost reduction of the final device and simplification of the shooting process. But as in the conventional stereoscopic format, VR180 videos suffer from stereoscopyrelated problems specific to 3D shooting. In this paper we analyze videos to
detect the most common stereoscopic artifacts using objective quality metrics, including color, sharpness and geometry mismatch between views and more. Our study depicts the current state of S3D technical quality of VR180 videos and reveals its overall poor condition, as most of the analyzed
videos exhibit at least one of the stereoscopic artifacts, which shows a necessity for stereoscopic quality control in modern VR180 shooting.