Tools for Test & Evaluation on Incompletely-Labeled Satellite Imagery Datasets
ID: OSD252-D03Type: BOTH
Overview

Topic

Tools for Test & Evaluation on Incompletely-Labeled Satellite Imagery Datasets

Agency

Agency: DODBranch: OSD

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.sbir.gov/topics/11948

Additional Information

https://www.dodsbirsttr.mil/submissions/solicitation-documents/active-solicitations
Timeline
    Description

    The Department of Defense (DoD) is seeking proposals for the Small Business Innovation Research (SBIR) program focused on developing tools for test and evaluation of AI/ML models using incompletely-labeled satellite imagery datasets. The objective is to create a software package that can rapidly analyze the performance of various AI/ML models on overhead imagery datasets, particularly in the presence of label noise, which can significantly impact evaluation quality. This initiative is crucial for organizations that rely on large-scale AI/ML deployments, as it aims to enhance confidence in model performance without incurring additional costs or delays. Proposals are due by May 21, 2025, and further details can be found at the provided source link: https://www.sbir.gov/topics/11948.

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