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 …
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