Automatic Extraction and Counting of Fish from Underwater Videos Using YOLO-Based Deep Learning Algorithms
In the context of increasing pressure on marine species, effective and automated methodologies for biodiversity monitoring are essential, particularly in sensitive ecosystems such as the Mediterranean Sea. This study presents an integrated deep learning approach for multi-object tracking and species...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W10-2025/79/2025/isprs-archives-XLVIII-2-W10-2025-79-2025.pdf |
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