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

Stand: 2017-11-21 000000m 13:09:05 - Overview

ok30
Attribute Current Content New
Name (Institute + Shorttitle)DPED: DSLR Photo Enhancement Dataset 
Description (include details on usage, files and paper references)We introduce a large-scale DPED dataset that consists of photos taken synchronously in the wild by three smartphones and one DSLR camera. The devices used to collect the data are iPhone 3GS, BlackBerry Passport, Sony Xperia Z and Canon 70D DSLR. To ensure that all devices were capturing photos simultaneously, they were mounted on a tripod and activated remotely by a wireless control system.

In total, over 22K photos were collected during 3 weeks, including 4549 photos from Sony smartphone, 5727 from iPhone and 6015 photos from BlackBerry; for each smartphone photo there is a corresponding photo from the Canon DSLR. The photos were taken during the daytime in a wide variety of places and in various illumination and weather conditions. The images were captured in automatic mode, we used default settings for all cameras throughout the whole collection procedure.
 
URL Linkhttp://dped-photos.vision.ee.ethz.ch 
Files (#)22306 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)dped image photo enhancement deep learning computer vision 
Last Changed2017-11-21 
Turing (2.12+3.25=?) :-)