Object Detection using Deep learning
Supervisor : Safaa Bedawi
Team size: Minimum 2, Maximum 4
| CSE | SE | Comm | Biomed | EE | Aero | Special |
|---|---|---|---|---|---|---|
| Yes | Yes | Yes | No | Yes | No | No |
Description
Object detection is a critical component in various applications such as autonomous vehicles, surveillance systems, robotics, and image analysis. This project aims to develop a robust and efficient object detection system that can accurately identify and locate objects within images or video streams. This project aims to develop an object detection system using deep learning techniques. The primary objectives include training an accurate and efficient object detection model, implementing it for real-time image and/or video processing, and providing a user-friendly interface. The project will focus on improving accuracy through model optimization and data augmentation and ensuring scalability for different objects and environments
Prerequisites:
Good programming skills, Python
Keywords:
Machine Learning, Object detection, Deep learning