HDRIHaven: Public domain high dynamic range image dataset

<p>High quality datasets are essential for image processing research.<br> This set contains 201 high dynamic range panoramic images (360&nbsp;x 180 degrees) with jpeg previews.<br> <br> The images are originally published&nbsp; at HDRIHaven &nbsp;under CC0 license / waiver:<br> - HDRIHaven: https://hdrihaven.com/<br> <br> The images are named using the&nbsp;SOURCE_IDX_DESCRIPTION.EXTENSION format, e.g.&nbsp;<br> hdrihaven_001_ahornsteig_16k.hdr.xz&nbsp;to ease further reference (e.g. &quot;hdrihaven_001&quot;).</p> <p><br> <strong>HDRIHaven:</strong><br> The photos were taken and processed&nbsp;by&nbsp;Greg Zaal, and he generously published the images under CC0 license.<br> The images were originally published at&nbsp;https://hdrihaven.com.</p> <p>The files have Radiance HDR type and 16K resolution (16384x8192, 134Mpixel)<br> <br> <strong>Bugfix:</strong></p> <p>One file was missing from the first version (hdrihaven_200_yellow_field_16k.hdr.xz).<br> This&nbsp;updated version&nbsp;should be used instead of the original.</p> <p>&nbsp;</p> <p><strong>Downloading data:</strong><br> Due to the large size, the .hdr images &nbsp;were compressed with xz, which is not especially fast, but has a high compression ratio.&nbsp;<br> <br> It&nbsp;&nbsp;could be quite time consuming to download each file individually.<br> If all of the files are required, then it might be a better approach to download only the &quot;file_list.txt&quot;,<br> and use a download manager to download the rest of the files. E.g. on Unix systems:&nbsp;</p> <pre><code class="language-bash">wget -i file_list.txt </code></pre> <p><br> Direct link to the file list:&nbsp;<a href="https://zenodo.org/record/1285800/files/file_list.txt">https://zenodo.org/record/1285800/files/file_list.txt</a></p> <p>Alternatively, zenodo_get (&nbsp;<a href="https://gitlab.com/dvolgyes/zenodo_get">http://gitlab.com/dvolgyes/zenodo_get</a> ) could be used to download the whole record, e.g.<br> &nbsp;</p> <pre><code>zenodo_get.py 10.5281/zenodo.1285800</code></pre> <p>&nbsp;</p> <p><strong>Related links:</strong></p> <p>You might also&nbsp; be interested in:&nbsp;<a href="https://doi.org/10.5281/zenodo.1245790">https://doi.org/10.5281/zenodo.1245790</a>&nbsp; which is a similar dataset.</p>