Fish-Detection-YOLOv8

Welcome to Fish-Detection-YOLOv8! This repository is focused on detecting fish species using the YOLOv8 (You Only Look Once) object detection algorithm. It aims to provide accurate and efficient fish detection models for various applications, including marine biology research, fish population monitoring, and automated fishing systems.

About This Repository

This project leverages the YOLOv8 algorithm to detect fish species with high accuracy. It includes tools for training, evaluating, and deploying models, making it a valuable resource for developers and researchers in marine biology and related fields.

Features

• State-of-the-Art Model: Utilizes YOLOv8, a cutting-edge object detection algorithm.
• High Accuracy: Achieves high precision and recall in detecting different fish species.
• Real-Time Processing: Capable of processing video streams in real-time.
• Comprehensive Dataset: Includes a well-curated dataset of fish images for training and evaluation.
• Easy to Use: Provides scripts and tools for training, evaluating, and deploying the model.

How to Use This Repository

1. Clone the Repository: ```bash git clone https://github.com/Vinay0905/Fish-Detection-YOLOv8.git