Assessing the Image Concept Drift at the OBSEA Coastal Underwater Cabled Observatory
13 pages, 9 figures, 2 tables.-- Data Availability Statement: The time series of specimen counts per species, obtained through the visual inspection of the image dataset, is provided as a supplementary material (only the images containing at least one specimen are reported). The image datasets analysed for this study can be accessed by contacting the OBSEA observatory [https://www.obsea.es/] on reasonable request
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | artículo biblioteca |
Published: |
Frontiers Media
2022-04
|
Subjects: | Concept drift, Automated fish classification, Automated fish detection, Deep learning, Underwater imaging, Underwater observing systems, Cabled observatories, |
Online Access: | http://hdl.handle.net/10261/268712 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100000780 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 13 pages, 9 figures, 2 tables.-- Data Availability Statement: The time series of specimen counts per species, obtained through the visual inspection of the image dataset, is provided as a supplementary material (only the images containing at least one specimen are reported). The image datasets analysed for this study can be accessed by contacting the OBSEA observatory [https://www.obsea.es/] on reasonable request |
---|