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Map feature extraction challenge training and validation data

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 map feature extraction challenge are provided here, as well as competition details and a baseline solution. The data were 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.

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Author(s) Margaret A Goldman orcid, Joshua M Rosera orcid, Graham W Lederer orcid, Garth E Graham orcid, Asitang Mishra, Alice Yepremyan
Publication Date 2023-12-27
Beginning Date of Data 2022
Ending Date of Data 2023
Data Contact
DOI https://doi.org/10.5066/P9FXSPT1
Citation Goldman, M.A., Rosera, J.M., Lederer, G.W., Graham, G.E., Mishra, A., and Yepremyan, A., 2023, Map feature extraction challenge training and validation data: U.S. Geological Survey data release, https://doi.org/10.5066/P9FXSPT1.
Metadata Contact
Metadata Date 2023-12-27
Related Publication
Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-04-30T15:20:04.473Z