Mars orbital image (HiRISE) labeled data set

This data set contains 3820 landmarks that were extracted from 168 HiRISE images. The landmarks were detected in HiRISE browse images. For each landmark, we cropped a square bounding box the included the full extent of the landmark plus a 30-pixel margin to left, right, top, and bottom. Each cropped image was then resized to 227x227 pixels.

Contents:

• map-proj/: Directory containing individual cropped landmark images
• labels-map-proj.txt: Class labels (ids) for each landmark image
• landmark_mp.py: Python dictionary that maps class ids to semantic names

Attribution:

If you use this data set in your own work, please cite this DOI: 10.5281/zenodo.1048301

Please also cite this paper, which provides additional details about the data set.

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 Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence, 2018.