Middlebury Color Datasets
- Registered Color Checker images
We provide registered views of two color calibration targets, X-Rite's
24-patch ColorChecker
and 140-patch Digital
ColorChecker SG. Each pattern was photographed:
- with 35 different camera models, 24 of which support both RAW and JPEG, while 11 support only JPEG;
- with fixed "Tungsten" white balance (wb1); for a subset of cameras also with "auto" white balance (wb2);
- under two fixed lighting conditions: using 3200K Tungsten (i1) and 4800K Daylight (i2) photo flood light bulbs;
- with 4 different exposures: stops -2 (e1), -1 (e2), 0 (e3), and +1 (e4).
RAW + JPEG
24 camera modelsJPEG only
11 camera modelsSampled (thumbnails) checker24-RAW-JPG.zip (123M, contents) checker24-JPG-only.zip (28M, contents) Smoothed (thumbnails) checker24s-RAW-JPG.zip (41M, contents) checker24s-JPG-only.zip (11M, contents) Sampled (thumbnails) checker140-RAW-JPG.zip (76M, contents) checker140-JPG-only.zip (17M, contents) Smoothed (thumbnails) checker140s-RAW-JPG.zip (26M, contents) checker140s-JPG-only.zip (6M, contents) - Registered RAW-JPEG pairs of natural scenes We provide 85
registered RAW/JPG pairs of natural scenes taken with 12 different
camera models; both "scaled" (linearly down-sampled) versions
attenuating noise and compression effects, and "cut" versions
composited from patches of the original images.
Scaled (thumbnails) other-scaled.zip (139M, contents) Cut (thumbnails) other-cut.zip (136M, contents) - Registered JPEG images of planar surfaces
We provide registered images of planar surfaces taken with 5 different
camera models, from different viewpoints, under different lighting,
and with different white balance and exposure. The views were
registered using Chuck Stewart's GDB-ICP software after
correcting for radial lens distortion.
Link to Datasets
(zip files available upon request)
How to cite our datasets:
We grant permission to use and publish all images on this website. If you do, we request that you cite the following paper:
A. Chakrabarti, D. Scharstein, and T. Zickler.
An empirical camera model for Internet color vision.
In British Machine Vision
Conference (BMVC 2009), London, UK, September 2009.
Acknowledgements
Many thanks to Porter Westling for his help in generating datasets #1 and #2, and to Scott Wehrwein and Kelvin Gorekore for their help in generating datasets #3.