Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-04-28 000000m 21:51:49 - Overview

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Name (Institute + Shorttitle)Pornography Dataset (NPDI/DCC/UFMG) 
Description (include details on usage, files and paper references)The Pornography database contains nearly 80 hours of 400 pornographic and 400 non-pornographic videos. For the pornographic class, we have browsed websites which only host that kind of material (solving, in a way, the matter of purpose). The database consists of several genres of pornography and depicts actors of many ethnicities, including multi-ethnic ones. For the non-pornographic class, we have browsed general-public purpose video network and selected two samples: 200 videos chosen at random (which we called "easy") and 200 videos selected from textual search queries like "beach", "wrestling", "swimming", which we knew would be particularly challenging for the detector (called "difficult").

If you make use of the Pornography database, please cite the following reference:

Sandra Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de A. Ara˙jo. Pooling in Image Representation: the Visual Codeword Point of View. Computer Vision and Image Understanding (CVIU), volume 117, issue 5, p. 453-465, 2013.  
URL Link 
Files (#)800 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)pornography, videos, video shots, video frames 
Last Changed2017-04-28 
Turing (2.12+3.25=?) :-)