[Concept] Understanding of Object Detection and YOLO framework

jaskiratsingh2000 / Research-Scalable-Vehicle-Detection-on-Edge-Devices

Research project tracker: Scalable Vehicle Detection on Edge Devices

MIT License

2 stars 0 forks source link

[Concept] Understanding of Object Detection and YOLO framework #3

Closed jaskiratsingh2000 closed 3 years ago

jaskiratsingh2000 commented 3 years ago

Trying to understand the Object Detection with the YOLO Framework. Trying to grasp what makes YOLO tick, why you should use it over other object detection algorithms, and the different techniques used by YOLO.

What is YOLO and Why is it Useful?
How does the YOLO Framework Function?
How to Encode Bounding Boxes?
Intersection over Union and Non-Max Suppression
Anchor Boxes
Combining all the Above Ideas
Implementing YOLO in Python

jaskiratsingh2000 commented 3 years ago

Reference used - https://www.analyticsvidhya.com/blog/2018/12/practical-guide-object-detection-yolo-framewor-python/#:~:text=YOLO%20is%20a%20state%2Dof,each%20grid%20contains%205%20boxes