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GRIME AI Triage Validation


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Created: Mar 30, 2026 at 1:19 a.m. (UTC)
Last updated: Mar 30, 2026 at 5:59 p.m. (UTC)
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Abstract

Validation evidence for the GRIME AI image triage module. Synthetic test images with known blur and brightness properties are processed through GRIME AI and results are compared against expected classifications. Includes validation of blur threshold detection, brightness lower and upper bound detection, and combined condition handling across six test cases. Contains the validation script, formal test plan, synthetic test images organized by test case, and CSV results from a validation run conducted on 2026-03-27

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License Apache License 2.0

Related Resources

This resource is described by GRIME AI source code. Available at: https://github.com/JohnStranzl/GRIME-AI

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. National Science Foundation Innovative Resources: Cyberinfrastructure and community to leverage ground-based imagery in ecohydrological studies 2411065

How to Cite

Stranzl Jr., J. E. (2026). GRIME AI Triage Validation, HydroShare, http://www.hydroshare.org/resource/d0381011dbb044f3bd22aa7256ccb911

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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