Drexel Object Occlusion Repository (DOOR)
Trip Denton, John Novatnack, Ali Shokoufandeh · 2005
The Drexel Object Occlusion Repository is a reference set of images for computer vision and object recognition researchers. The images are constructed by overlapping input objects from the COIL-20 database and occluding them by various amounts. The amount of occlusion for each image is measured at the pixel level. An accompanying text file for each occlusion image describes the input files, occlusion rates etc.