A two-day project by Jake Lee using open-source tools
Visit the NASA Mars 2020 Raw Images Gallery
DEMUD algorithm developed by Kiri Wagstaff et al.
at the JPL Machine Learning and Instrument Autonomy Group
All images credit NASA/JPL-Caltech/ASU/CAB
Last updated 2021-04-07 with 10546 images, results updated daily
How does this work?
Filter by Instrument!
If you give DEMUD a massive orchard, it will return with one of every fruit.
Because Perseverance takes many images of the same object by design (such as calibration targets), sorting them chronologically in a gallery results in many pages of similar content. To find all of the different objects and content in the gallery, you have to flip through hundreds of pages of thousands of images.
The DEMUD algorithm solves this problem by prioritizing the set of images with the most diverse and novel content. It quickly identifies one of every item and ranks them for you to look at. If you give DEMUD a massive orchard, it will return with one of every fruit. This can be very useful for quickly finding interesting things in a large dataset.
The DEMUD algorithm is also capable of explaining why it thought an item was interesting enough to bring to your attention. It's not implemented here, but check it out below.
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