Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications
ID: OSD252-D02Type: BOTH
Overview

Topic

Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications

Agency

Agency: DODBranch: OSD

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.sbir.gov/topics/11947

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 "Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications." The objective is to refine existing image labeling methodologies to enhance the production of datasets containing rare and diverse objects of interest (OOIs) in overhead satellite imagery, particularly those that are challenging to identify due to factors such as scarcity, lack of distinctiveness, occlusion, and natural obfuscation. This initiative is critical for improving the efficiency and cost-effectiveness of labeling processes, which are essential for developing machine learning algorithms in computer vision applications. Interested parties must possess TS/SCI clearances and conduct work at the same level, with Phase I proposals due by May 21, 2025, and further details available at the provided source link: https://www.sbir.gov/topics/11947.

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