Dataset Open Access

The Cube++ Illumination Estimation Dataset

Egor Ershov; Alexey Savchik; Illya Semenkov; Nikola Banić; Alexander Belokopytov; Daria Senshina; Karlo Koščević; Marko Subašić; Sven Lončarić

Data collector(s)
Maria Yarykina; Ekaterina Panfilova; Viacheslav Vasilyev; Vasily Tesalin; Oleg Emelyanov; Tatyana Postnikova; Sergey Pavlov; Evgenija Sidorchuk; Olga Vlasova
Data curator(s)
Sergey Emelyanov
Hosting institution(s)
Dmitry Nikolaev

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.

Dataset description and code is available on https://github.com/Visillect/CubePlusPlus

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.

Also, a smaller (2GB) and easy to use version of the dataset named SimpleCube++ is provided in SimpleCube++.zip file.

For a fast download please use zenodo-get. To install it use the following commands:

pip install zenodo-get
zenodo_get https://zenodo.org/record/4153431 --output-dir=Cube++

Please note, that PNG0.zip is missed here. To download it type the following commands

cd Cube++/
wget https://storage.yandexcloud.net/cubepng0/PNG0.zip

or (slower)::

wget ftp://vis.iitp.ru/Cube++/PNG0.zip

 

Files (205.4 GB)
Name Size
JPG.zip
md5:2db81332f000bc5e8de03ff77c01c6da
2.6 GB Download
markup.zip
md5:8c3c8344cfd16f131d0d632569d799e9
20.0 MB Download
PNG1.zip
md5:5f24bc3fa5be40247fded23d79332c77
8.3 GB Download
PNG2.zip
md5:5ba006a09a4be4ca6a14c6b52413cab2
8.5 GB Download
PNG3.zip
md5:28b2f489ed880f1ee92225a6bdd05f0b
8.6 GB Download
PNG4.zip
md5:c8b5a0d8be10f61c34a9e53d2a906865
8.2 GB Download
PNG5.zip
md5:028efecae4d4e95c0c9c07b0c683d692
9.5 GB Download
PNG6.zip
md5:aab5e2abb4f5ade5efc3ff3ed7e7b175
8.7 GB Download
PNG7.zip
md5:03115a20e05d4d9abf9d46785763d56c
8.2 GB Download
PNG8.zip
md5:79bdf36241f8813ee0e73f177f2edccd
8.8 GB Download
PNG9.zip
md5:dcf0f011355b1ad7378479aec24386e3
8.6 GB Download
SimpleCube++.zip
md5:d3438223e5b4ca27be874db690bef822
2.1 GB Download
source_CR2_0.zip
md5:1f5dd086122ec5dee4463fbfe21105ef
13.8 GB Download
source_CR2_1.zip
md5:c7318f675301240f86eb0e17e91f1ea5
11.8 GB Download
source_CR2_2.zip
md5:2188fc1dd2616cae718df6859360bca2
12.0 GB Download
source_CR2_3.zip
md5:4386c0c5dbe1c6140f7e0255d475ba20
12.1 GB Download
source_CR2_4.zip
md5:29ab74204f834947735ba8c8b6888c97
11.6 GB Download
source_CR2_5.zip
md5:93f9444975b2580ed65b5554a6ffa434
13.6 GB Download
source_CR2_6.zip
md5:2ee2c8db0b456834527bb77288aea5a4
12.3 GB Download
source_CR2_7.zip
md5:f72478ead0aa266996015d2d876ca898
11.6 GB Download
source_CR2_8.zip
md5:434c69a5c34e0faf0b75923cc9dfbcfa
12.4 GB Download
source_CR2_9.zip
md5:944f3035213f91287fbcc575593b8e6d
12.2 GB Download
source_markup.zip
md5:ce175911981b2935f3ea0838a5290761
3.1 MB Download
unzip_cube++.sh
md5:35759ddf8fe8a79e71368945690e4701
58 Bytes Download
zip_cube++.sh
md5:6ee022a33e9b95d0b1d1e5d8e6abc611
1.2 kB Download
  • Ershov, Egor, Alex Savchik, Illya Semenkov, Nikola Banić, Alexander Belokopytov, Daria Senshina, Karlo Koscević, Marko Subašić, and Sven Lončarić. "The Cube++ Illumination Estimation Dataset." arXiv preprint arXiv:2011.10028 (2020).

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All versions This version
Views 1,4381,438
Downloads 12,76612,766
Data volume 83.7 TB83.7 TB
Unique views 1,2181,218
Unique downloads 2,0122,012

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