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Training and validation data from the AI for Critical Mineral Assessment Competition

January 2, 2024

Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the competition are provided here, as well as competition details and baseline solutions. The data are derived from published sources and are provided to the public to support continued development of automated georeferencing and feature extraction tools. References for all maps are included with the data.

Publication Year 2024
Title Training and validation data from the AI for Critical Mineral Assessment Competition
DOI 10.5066/P9FXSPT1
Authors Margaret A Goldman, Joshua M Rosera, Graham W Lederer, Garth E Graham, Asitang Mishra, Alice Yepremyan
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Geology, Geophysics, and Geochemistry Science Center
Rights This work is marked with CC0 1.0 Universal
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