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

Stand: 2020-06-07 000000m 12:02:57 - Overview

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Name (Institute + Shorttitle)Smartphone Image Denoising Dataset (SIDD) 
Description (include details on usage, files and paper references)Using this procedure, we have captured a dataset, the Smartphone Image Denoising Dataset (SIDD), of ~30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras and generated their ground truth images. We used this dataset to benchmark a number of denoising algorithms. We show that CNN-based methods perform better when trained on our high-quality dataset than when trained using alternative strategies, such as low-ISO images used as a proxy for ground truth data. 
URL Linkhttps://www.eecs.yorku.ca/~kamel/sidd/ 
Files (#)30000 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)denoising noise real photograph image synthetic quality benchmark groundtruth  
Last Changed2020-06-07 
Turing (2.12+3.25=?) :-)