In collaboration with Graham Finlayson and Roshanak Zakizadeh, the site is augmented with a new evaluation metric: Reproduction error. It contains an explanation of the topic, as well as an overview of various approaches to obtain it.
In this paper, they proposed a physically-based method to recover the illuminant from temporal sequences, without the need for user interaction or using strong assumptions and heuristics. The images are available here and the original high resolution raw data from the camera (.X3F format) are available upon request.
This set of images is released by the Eidomatics Laboratory of the Department of Computer Science of the Universita degli Studi di Milano (Italy), and contains both low dynamic range (LDR) and high dynamic range (HDR) images. The images used in the 2012 TIP-paper “Color Constancy for Multiple Light Sources” by Gijsenij, Lu and Gevers are (finally) made available to the public. Hamid Reza Vaezi Joze and Mark Drew shared the results of their method described in their 2012 BMVC and 2013 TPAMI-follow-up papers.

Further, results of several methods applied to some of the publicly available data sets are provided, as well as reproduction errors (as proposed by Finlayson and Zakizadeh at BMVC 2014). This method uses other methods as voters for a predefined set of illuminants obtained by a learning process. The method is based on the assumption that the incident light chromaticity is constant over a short space-time domain, and it can even be applied to scenes illuminated by two global light sources assuming the incident light chromaticity can be modeled by a mixture of the two illuminant colors. Clark were kind enough to make their source-code available to the community through this website. Now, they made available the source-code of this method, as well as the data sets they experimented on.
If you have any questions, comments, remarks or additions to this website, please write an e-mail to the contact person of this website.
This new metric arguably is better suited to predict the actual performance of a color constancy algorithm than the currently often used recovery error.

They also made available the results using the recomputed the ground truth of the reprocessed version of the Color-checker data set (see the downloadable results for more information). Feel free to refer to this website in your publications if you use any of the information that you recovered from this place (like the pre-computed results of several algorithms on various data sets).
An effort of Roshanak to calculate the reproduction error for the illuminant estimates that can be found on this site is added to the results-section, and can be found here.

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