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Mars Surface Image (Curiosity Rover) Labeled Dataset

Published on: 2017-11-15
Version: 1.0
DOI: 10.5281/zenodo.1049137
Contributors: Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, Jordan Padams
Datarows: 6,691
images
image-classification

This dataset consists of 6,691 images spanning 24 classes that were collected by the Mars Science Laboratory (MSL, Curosity) rover by three instruments (Mastcam Right eye, Mastcam Left eye, and MAHLI).  These images are the "browse" version of each original data product, not full resolution.  They are roughly 256x256 pixels each.


MSL images are divided into train, validation, and test data sets according to their sol (Martian day) of acquisition.  This strategy was chosen to model how the system will be used operationally with an image archive that grows over time.  The images were collected from sols 3 to 1060 (August 2012 to July 2015).  The exact train/validation/test splits are given in individual files.  Full-size images can be obtained from the PDS at https://pds-imaging.jpl.nasa.gov/search/. Learn more about the dataset here.

Citation
Kiri L. Wagstaff, You Lu, Alice Stanboli, Kevin Grimes, Thamme Gowda, and Jordan Padams. "Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas." Proceedings of the 30th Annual Conference on Innovative Applications of AI, 2018.
License
CC BY-SA 4.0 (see more)