Uploaded November 2025 | Updated September 2026, 1 day ago
Collecting a high quality dataset with 4M unique phrases and 52M corresponding object masks helped SAM 3 achieve 2x the performance of baseline models. Kate, a researcher on SAM 3, explains how the data engine made this leap possible.
đź”— Read the SAM 3 research paper: go.meta.me/6411f7
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Meta focuses on bringing the world together by advancing AI, powering meaningful and safe experiences, and conducting open research.
Collecting a high quality dataset with 4M unique phrases and 52M corresponding object masks helped SAM 3 achieve 2x the performance of baseline models. Kate, a researcher on SAM 3, explains how the data engine made this leap possible.
đź”— Read the SAM 3 research paper: go.meta.me/6411f7
--
Subscribe: youtube.com/aiatmeta?sub_confirmation=1
Learn more about our work: ai.meta.com
Follow us on Twitter: twitter.com/aiatmeta
Follow us on Facebook: facebook.com/aiatmeta
Connect with us on LinkedIn: linkedin.com/showcase/aiatmeta
Meta focuses on bringing the world together by advancing AI, powering meaningful and safe experiences, and conducting open research.
