Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications
The grant opportunity involves developing and refining an image labeling system to efficiently produce datasets with rare and diverse objects of interest (OOIs).
Phase I: Create a foundational model for labeling using Microsoft COCO format that combines human and tool interactions to improve efficiency while reducing human effort. The system should incorporate quality …
Refine an existing image labeling regime to accelerate the production of datasets containing rare and diverse targets.
Phase I
Demonstrate a basic model based labeling methodology to accelerate accurate label production on rare and otherwise constrained OOIs using the Microsoft C…
Funding Source
Dates
Supporting links
Secure Grant Funding 10x Faster
Scout delivers AI-powered grant writing paired with experts that's faster, more affordable, and built to win.
Already have an account? Sign In
Trusted by 500+ Happy Customers