BenthicNet: A global compilation of seafloor images for deep learning applications
Abstract Advances in underwater imaging enable collection of extensive seafloor image datasets necessary for monitoring important benthic ecosystems. The ability to collect seafloor imagery has outpaced our capacity to analyze it, hindering mobilization of this crucial environmental information. Mac...
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-025-04491-1 |
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