Communications of the ACM
Iarpa Announces Map of the World Challenge For Satellite Imagery
The functional Map of the World Challenge launched by the U.S. Defense Intelligence Advanced Research Projects Activity is inviting people from around the world to develop machine-learning algorithms and other automated techniques that can accurately dete
Credit: Intelligence Advanced Research Projects Activity
The Intelligence Advanced Research Projects Activity (IARPA), an organization within the Office of the Director of National Intelligence, has launched the functional Map of the World (fMoW) Challenge, inviting people from around the world to develop machine-learning algorithms and other automated techniques that can accurately detect and categorize points of interest from satellite imagery.
The fMoW Challenge aims to promote and benchmark research in object recognition and categorization from satellite imagery for automated identification of facility, building, and land use.
IARPA will provide a satellite imagery dataset with 1 million annotated points of interest to the challenge participants, as well as a predetermined point-of-interest category library and image sets containing numerous unidentified points as training data. Participants will use this data to create an algorithm that can detect and categorize building and land use in the provided images.
Participants will be eligible to win cash prizes from a total prize purse of $100,000.
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