# Underwater Animal Detection Using YOLOV4

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/underwater-animal-detection-using-yolov4/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohamed Syazwan Asyraf Bin Rosli,Iza Sazanita Isa,Mohd Ikmal Fitri Maruzuki,Siti Noraini Sulaiman,Ibrahim Sayed Ahmad |
| Citations | 26 |
| DOI | 10.1109/iccsce52189.2021.9530877 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3200877390 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Iza Sazanita Isa](https://scholariq.org/researchers/iza-sazanita-isa/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.