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.
- 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
- 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.