YOLOv8-SC: an improved seafood target-detection model
The advancement of convolutional neural networks has significantly enhanced autonomous underwater fishing. This study introduces YOLOv8-SC, a lightweight model designed for detecting valuable seafood and sea cucumbers in aquatic robots with limited resources. YOLOv8-SC tackles the challenges of high...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2025.2516713 |
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