FathomNet: A global image database for enabling artificial intelligence in the ocean

• Published in: Scientific reports Vol. 12; no. 1; p. 15914
• Main Authors: Katija, Kakani, Orenstein, Eric, Schlining, Brian, Lundsten, Lonny, Barnard, Kevin, Sainz, Giovanna, Boulais, Oceane, Cromwell, Megan, Butler, Erin, Woodward, Benjamin, Bell, Katherine L. C.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.09.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647; 631/1647/245; 704/158; 704/829; Artificial intelligence; Biota; Data collection; Humanities and Social Sciences; Image databases; Information processing; Marine organisms; multidisciplinary; Science; Science (multidisciplinary); Standardization; Underwater equipment

The ocean is experiencing unprecedented rapid change, and visually monitoring marine biota at the spatiotemporal scales needed for responsible stewardship is a formidable task. As baselines are sought by the research community, the volume and rate of this required data collection rapidly outpaces ou...