Object Detection: Innovations and Real-World Applications

About This Repository

This repository contains a comprehensive literature review on the advancements in object detection technology, with a focus on the development and applications of YOLOv8. The review covers the evolution of object detection from early techniques to advanced methods like CNN and YOLO architectures.

Key Sections

• Introduction to Object Detection Technology
• Evolution of Object Detection Techniques
• Overview of the YOLO Architecture and YOLOv8
• Comparative Analysis of Object Detection Models
• Challenges and Limitations in Current Research
• Future Directions in Object Detection

Highlights

• In-depth exploration of YOLOv8's algorithmic improvements, accuracy enhancements, and practical implications.
• Comparative analysis of YOLOv8 with other object detection models.
• Discussion on the ethical and privacy concerns in object detection technology.
• Examination of future research directions, including specialized hardware development and ethical considerations.