DARPA AI Competition Opportunity, Help the U.S. Supply Chain
31 Aug 2022
Government Contracting, DARPA, Artificial Intelligence, Technology, PTAC
The Defense Advanced Research Projects Agency (DARPA) is holding an AI for Critical Mineral Assessment Competition. This competition solicits innovative solutions for automatically extracting and georeferencing features from scanned or raster maps in support of the U.S. Geological Survey.
Data from critical mineral assessments is vital to increasing domestic production of critical minerals and reducing our reliance on imports. The goal is to significantly speed up the assessment of the nation’s critical mineral resources by automating key steps in the process.
The competition includes the following two, independent challenges:
- Map Georeferencing Challenge: Automated map georeferencing is a difficult task as most USGS maps are not digitized, and may be in a multitude of historical coordinate projection systems. Furthermore, the quality of features on scanned maps, critical for the identification of control points for alignment, can vary greatly. Participants will receive a dataset of 1,000 or more maps of various types for training and validation. The goal of this challenge is to accurately geolocate a map of unknown location and coordinate system by fitting coordinate points that can be referenced to known locations in one or more base maps. Register Now
- Map Feature Extraction Challenge: Automated map feature extraction is a difficult task because map features (polygons, points, lines, text) often overlap and are sometimes discontinuous. Not only do the features come in all shapes and sizes, but the same feature type can be depicted in different maps using different symbols or patterns. This makes it challenging to create a universal identifier for even a single feature such as a mine location or mineral resource tracts. Participants will be provided a training set consisting of maps with each legend item labeled and characterized (as point, line, or polygon) and a binary pixel map reflecting the feature’s coverage in the map. The goal of the challenge is to identify all features in a map that appear in the map’s legend. Register Aug. 29 - Sept.9
For each of the two challenges, DARPA will award:
- $10,000 for the first prize
- $3,000 for the second prize
- $1,000 for the third prize
Visit criticalminerals.darpa.mil for complete details on how you can compete.
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