Home / Course catalog / Computer Vision - Intermediate

DSG

Computer Vision - Intermediate


Description
This course is in continuation of the Basic course in Computer Vision.
The course mainly focuses on understanding the background for Object detection such as annotations, anchor boxes, NMS and the performance metrics used to evaluate the model and finally the implementation of the object detection model using Yolo V3.
Content
  • Object Detection
  • Introduction
  • Annotation
  • Anchor Boxes
  • Assignment 1
  • Non-Max Suppression
  • Performance Metrics
  • Algorithms
  • Assignment 2
  • Implementation
  • YOLOv3
  • Object Detection using Yolo V3
  • Assignment 3
  • TEST
Completion rules
  • All units must be completed