Summary of Automatic Coral Detection with Yolo: a Deep Learning Approach For Efficient and Accurate Coral Reef Monitoring, by Ouassine Younes (lisi et al.
Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring
by Ouassine Younes, Zahir Jihad, Conruyt Noël, Kayal Mohsen, A. Martin Philippe, Chenin Eric, Bigot Lionel, Vignes Lebbe Regine
First submitted to arxiv on: 3 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents an automatic coral detection system using the You Only Look Once (YOLO) deep learning model for underwater imagery analysis. A custom dataset with 400 original images is used to train and evaluate the system, which is then expanded through data augmentation techniques to include 580 annotated images. The YOLOv5 algorithm’s real-time object detection capabilities are leveraged to extract features from the dataset, enabling the system to generalize and detect coral in previously unseen underwater images. This study highlights the potential of advanced computer vision techniques for coral reef research and conservation. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Coral reefs are super important ecosystems that are in trouble because of human activities and climate change. To help protect them, scientists need a way to quickly and accurately find corals. This paper shows how to use special computer algorithms called YOLO (You Only Look Once) to detect coral in underwater pictures. They used 400 original photos and then added more fake versions to help the algorithm learn. The goal is to create a system that can spot coral even when it’s hard to see, like in cloudy or dark water. This could be really helpful for scientists who want to study coral reefs and figure out how to save them. |
Keywords
» Artificial intelligence » Data augmentation » Deep learning » Object detection » Yolo