Center-click supervision ========================= Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller and Vittorio Ferrari dim.papadopoulos@ed.ac.uk Introduction ~~~~~~~~~~~~ Welcome to this release of the center-click annotations on PASCAL VOC 2007 trainval images. We collected center-click annotations on Amazon Mechanical Turk (AMT) for all 20 classes of the whole trainval set of PASCAL VOC 2007 [2]. Each image was annotated with a click by two different annotators for each class present in the image. This results in 14,612 clicks in total for the 5,011 trainval images.(see [1] for more details about the crowd-sourcing annotation protocol). We also provide the object localizations produced by our proposed center-click supervision approach described in [1]. Contents ~~~~~~~~ Let be the directory where this package was uncompressed. This package contains 20 mat files (one for each PASCAL class) with center click annotations in /cclickData Description of the files ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Each mat file in /cclickData contains one structure array with the data for this class: filename - filename of an image in PASCAL format clickpos - an Mx2 array with the x and y coordinates of the center-clicks of M different annotators. (M=2) gtbb - an Nx4 double array with the coordinates of the N ground-truth bounding-boxes of this class, [x1 y1 x2 y2] clickbb - an 1x4 double array with the coordinates of the the bounding-boxes of this class, [x1 y1 x2 y2] Support ~~~~~~~ For any query/suggestion/complaint or simply to say you like/use the dataset and software just drop us an email dim.papadopoulos@ed.ac.uk jrr.uijlings@gmail.com keller@inf.ed.ac.uk vferrari@staffmail.ed.ac.uk References ~~~~~~~~~~ [1] Training object class detectors with click supervision D. P. Papadopoulos, J. R. R. Uijlings, F. Keller and V. Ferrari Computer Vision and Pattern Recognition (CVPR), 2017. [2] The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn and A. Zisserman http://host.robots.ox.ac.uk/pascal/VOC/voc2007/index.html