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<!--<h3><b>Matching in the Dark</b></h3>--><b>MID dataset</b> [Homepage] <br>
Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani.
+ Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
[Introduction] This repository contains details about the MID (Matching in the Dark) dataset. The MID dataset was introduced as a benchmark for local descriptor
evaluation challenge in extreme low-light conditions. This dataset also can be used for low-light Raw image-enhancing evaluation. See the paper for more details.
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The dataset contains diverse scenes consisting of 54 outdoor and 54 indoor scenes.
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For each scene, we provide one pair of groups of multiple RAW-format images captured from different two positions.
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In each group, there are 48 (6 shutter speeds × 8 ISO settings) underexposure images and one correspond long-exposure image.
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We provide ground truth relative camera pose for each scene obtained with long-exposure images.
[Samples] Here are example stereo image pairs (long exposure versions) of four indoor scenes and four outdoor scenes!
If there is a need to manually get the MID dataset, download
and untar the following file:
- MID [460GB].
Citation
If you find these models useful for your resesarch, please cite with this bibtex.