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eugenesiow/PIRM

The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing. These images cover diverse contents, including people, objects, environments, flora, natural scenery, etc. Images vary in size, and are typically ~300K pixels in resolution. This dataset was first used for evaluating the perceptual quality of super-resolution algorithms in The 2018 PIRM challenge on Perceptual Super-resolution, in conjunction with ECCV 2018.

Author / organizationeugenesiow
License (as declared)cc-by-nc-sa-4.0
Downloads146 (as reported by Hugging Face)
Likes0
Created2 March 2022
Last updated at source21 October 2022
other-image-super-resolution
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