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| Type: | Resource | |
| Storage: | The size of this resource is 40.3 MB | |
| Created: | Mar 30, 2026 at 1:19 a.m. (UTC) | |
| Last updated: | Mar 30, 2026 at 5:59 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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| Views: | 19 |
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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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| Name | Value |
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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