4153431
doi
10.5281/zenodo.4153431
oai:zenodo.org:4153431
Dmitry Nikolaev
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Maria Yarykina
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Ekaterina Panfilova
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Viacheslav Vasilyev
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Vasily Tesalin
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Sergey Emelyanov
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Oleg Emelyanov
Tatyana Postnikova
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Sergey Pavlov
Evgenija Sidorchuk
Olga Vlasova
Alexey Savchik
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Illya Semenkov
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Nikola Banić
Gideon Brothers, Radni{\v{c}}ka 177, 10000 Zagreb, Croatia
Alexander Belokopytov
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Daria Senshina
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
Karlo Koščević
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Marko Subašić
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
Sven Lončarić
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
The Cube++ Illumination Estimation Dataset
Egor Ershov
Institute for Information Transmission Problems, RAS, Bol'shoi Karetnyi per. 19, Moscow, Russian Federation
url:https://arxiv.org/abs/2011.10028
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Color constancy, dataset, illumination estimation, white balancing, multiple illumination, mixed illumination
<p>Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of the computational color constancy is illumination estimation, i.e. estimating the illumination color. When an illumination estimation method is proposed, its accuracy is usually reported by providing the values of error metrics obtained on the images of publicly available datasets. However, over time it has been shown that many of these datasets have problems such as too few images, inappropriate image quality, lack of scene diversity, absence of version tracking, violation of various assumptions, GDPR regulation violation, lack of additional shooting procedure info, etc.</p>
<p>Dataset description and code is available on <a href="https://github.com/Visillect/CubePlusPlus">https://github.com/Visillect/CubePlusPlus</a></p>
<p>Cube++ aims to alleviate many of the mentioned problems and to help the illumination estimation research. It consists of 4890 images with known illumination colors as well as with additional semantic data that can further make the learning process more accurate. Due to the usage of the SpyderCube color target, for every image there are two ground-truth illumination records covering different directions. Because of that, the dataset can be used for training and testing of methods that perform the single or two-illuminant estimation. This makes it superior to many similar existing datasets.</p>
<p>Also, <strong>a smaller (2GB) and easy to use version of the dataset named SimpleCube++ is provided in SimpleCube++.zip file.</strong></p>
<p>For a fast download please use zenodo-get. To install it use the following commands:</p>
<pre><code>pip install zenodo-get
zenodo_get https://zenodo.org/record/4153431 --output-dir=Cube++</code></pre>
<p>Please note, that PNG0.zip is missed here. To download it type the following commands</p>
<pre><code>cd Cube++/
wget https://storage.yandexcloud.net/cubepng0/PNG0.zip</code></pre>
<p>or (slower)::</p>
<pre><code>wget ftp://vis.iitp.ru/Cube++/PNG0.zip</code></pre>
<p> </p>
Zenodo
2020-10-29
info:eu-repo/semantics/other
4153430
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public
https://arxiv.org/abs/2011.10028
Cites
url
10.5281/zenodo.4153430
isVersionOf
doi