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Underwater Object Detection using Reinforcement Learning

This is a project that uses YOLOv8, Intel RealSense, and Jetson Nano to detect coordinates and type of object underwater.

Model Weights

This project uses YOLOv11n as the base model.

Setting Up

  1. Clone this repo:
git clone https://github.com/poran-dip/uw-object-detection
cd uw-object-detection
  1. Set up virtual environment:
python -m venv venv

venv\Scripts\activate # Windows
source venv/bin/activate # Mac OS

pip install -r requirements.txt
  1. Run test detection
python main.py

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Underwater object detection using Reinforcement Learning

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