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About Underwater Object Detection Using Image Enhancement and Deep Learning Models
The document discusses using deep learning models for underwater object detection from images captured by autonomous underwater vehicles. It evaluates YOLOv8, YOLOv7, and YOLOv5 models on publicly available underwater datasets. The YOLOv5 and YOLOv8 models achieved the highest mean average precision on the Brackish dataset, demonstrating the potential for deep learning in automated underwater object detection.
Detailed Information
| Author: | ['deshmukhneha833'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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