# Optimizing the Hyperparameter Tuning of YOLOv5 for Underwater Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimizing-the-hyperparameter-tuning-of-yolov5-for-underwater-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Iza Sazanita Isa,Mohamed Syazwan Asyraf Bin Rosli,Umi Kalsom Yusof,Mohd Ikmal Fitri Maruzuki,Siti Noraini Sulaiman |
| Citations | 80 |
| DOI | 10.1109/access.2022.3174583 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09773108.pdf |
| OpenAlex ID | https://openalex.org/W4285107929 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Iza Sazanita Isa](https://scholariq.org/researchers/iza-sazanita-isa/)
- [Siti Noraini Sulaiman](https://scholariq.org/researchers/siti-noraini-sulaiman/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Underwater Vehicles and Communication Systems](https://scholariq.org/topics/underwater-vehicles-and-communication-systems/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)

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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.