DeepSTARia: enabling autonomous, targeted observations of ocean life in the deep sea
13 pages, 7 figures, 1 table, supplementary material https://www.frontiersin.org/articles/10.3389/fmars.2024.1357879/full#supplementary-material.-- Data availability statement: The datasets presented in this study can be found in online repositories. Labeled data can be accessed through FathomNet at www.fathomnet.org, and the midwater object detector can be accessed at www.github.com/fathomnet/models. All software related to the DeepSTARia project is open-source. Code used for the May 2021 deployment of DeepSTARia is available at https://bitbucket.org/mbari/ml-boxview
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | artículo biblioteca |
| Language: | English |
| Published: |
Frontiers Media
2024-04
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| Subjects: | Ocean, Autonomy, Machine learning, Computer vision, Robotics, Tracking, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, |
| Online Access: | http://hdl.handle.net/10261/356935 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 |
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