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Training and validation data from the AI for Critical Mineral Assessment Competition
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.
Author(s) |
Margaret A Goldman |
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, Training and validation data from the AI for Critical Mineral Assessment Competition: U.S. Geological Survey data release, https://doi.org/10.5066/P9FXSPT1. |
Metadata Contact | |
Metadata Date | 2023-12-27 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | No citations of these data are known at this time. |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-04-30T15:20:04.473Z