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.

{"references": ["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, 2017."]}