Morning Edition · Friday, September 18, 2026Published at 2:27 AM EDT · New York
Lawrence Berkeley National Laboratory pairs DINOv3 with Segment Anything for imaging data at Department of Energy facilities, while a University of Pittsburgh project runs the same models on edge devices for assistive robots.

Meta published two deployment accounts for its open vision models that describe the same technical pattern: self-supervised representations from DINOv3 combined with pixel-level segmentation from the Segment Anything Model, applied to domai…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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