JUSTUS-LIEBIG-UNIVERSITÄT GIESSEN
Welcome to the download page for the Material Image Database (MID).
Here we offer our collection of material images for download.
You can download all 300 images in a compressed zip-file: Images.zip (210MB)
This database is licensed under the Creative Commons Attribution-Share Alike 4.0 International license, free of charge to the scientific community and interested third parties, for non-profit and academic use.
If you wish to utilize the images in your own research, please cite our publication (see below) as the source reference for this database.
We also politely ask that you notify us via email to karl.r.gegenfurtner(at)uni-giessen(dot)de. You may also use this address to ask questions.
Reference: Wiebel, C.B., Valsecchi, M., & Gegenfurtner, K.R. (2013). The speed and accuracy of material recognition in natural images. Attention, Perception, & Psychophysics, 75, 954-966.