The repository contains files to build a object detection model using the yolo pre-trained weights. Finally, we applied transfer learning to train the model on the Berkley Driving dataset to build an object detection model for a self driving car.
Details to the code and the concepts covered in this code can be found in the blog : Object Detection for Self Driving Car. The blog covers the following concepts:
- Threshold Filtering
- Non Max Suppression
- Intersection over Union (IoU) metrics
- Anchor Boxes
- YOLO Algorithm
You can watch the video with the object detection algorithm in action here
If Object Detection seems to be a new word for you, you can learn the basics of object detection through the blog: Introduction to Object Detection.