LabelMars: Creating an extremely large Martian image dataset through machine learning

Schwenzer, S. P.; Woods, M.; Karachalios, S.; Phan, N. and Joudrier, L. (2019). LabelMars: Creating an extremely large Martian image dataset through machine learning. In: 50th Lunar and Planetary Science Conference, 18-22 Mar 2019, The Woodlands, Houston, Texas, USA.

URL: https://www.hou.usra.edu/meetings/lpsc2019/pdf/197...

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• Item ORO ID
• 61052
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Water Rock Reactions, Key to Habitability from the Gale Crater Lake to ExoMars	ST/S001522/1	UKSA UK Space Agency

• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• ?? space ??
• Depositing User
• Susanne Schwenzer