BenthicNet: A global compilation of seafloor images for deep learning applications

Authors: Lowe, Scott C., Misiuk, Benjamin, Xu, Isaac, Abdulazizov, Shakhboz, Baroi, Amit R., Bastos, Alex C., Best, Merlin, Ferrini, Vicki, Friedman, Ariell, Hart, Deborah, Hoegh-Guldberg, Ove, Ierodiaconou, Daniel, Mackin-McLaughlin, Julia, Markey, Kathryn, Menandro, Pedro S., Monk, Jacquomo, Nemani, Shreya, O'Brien, John, Oh, Elizabeth, Reshitnyk, Luba Y., Robert, Katleen, Roelfsema, Chris M., Sameoto, Jessica A., Schimel, Alexandre C. G., Thomson, Jordan A., Wilson, Brittany R., Wong, Melisa C., Brown, Craig J., Trappenberg, Thomas

Source: Sci Data 12, 230 (2025)

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2405.05241

BenthicNet: A global compilation of seafloor images for deep learning applications.

Authors: Lowe, Scott C., Misiuk, Benjamin, Xu, Isaac, Abdulazizov, Shakhboz, Baroi, Amit R., Bastos, Alex C., Best, Merlin, Ferrini, Vicki, Friedman, Ariell, Hart, Deborah, Hoegh-Guldberg, Ove, Ierodiaconou, Daniel, Mackin-McLaughlin, Julia, Markey, Kathryn, Menandro, Pedro S., Monk, Jacquomo, Nemani, Shreya, O'Brien, John, Oh, Elizabeth, Reshitnyk, Luba Y.

Source: Scientific Data; 2/7/2025, Vol. 12 Issue 1, p1-24, 24p

Subject Terms: ARTIFICIAL intelligence, IMAGE analysis, IMAGE recognition (Computer vision), MACHINE learning, IMAGE processing, DEEP learning