About the Course

Computer Vision is the eye for AI..

Main Contents

Fundamentals of Computer Vision  
  • Image pre-processing and tools
  • Introduction to OpenCV
  • Feature map
  • Receptive fields
Computer Vision Tasks and Applications 
  • Bounding box and confidence score
  • IOU
  • Object classification
  • Object detection
  • Object segmentation
  • Pose estimation
R-CNN and Applications  
  • Introduction to R-CNN
  • Region proposals
  • Pre-processing
  • Backbone networks
  • Detector/Regressor
  • Bounding-box regression
  • Training
  • Fast R-CNN
  • Faster R-CNN
  • RPN
  • Model training
Mask R-CNN and Applications
  • Introduction to Mask R-CNN
  • ROIAlign
  • Model training
YOLO and Applications  
  • Introduction to YOLO
  • Bounding box prediction
  • YOLO improvements
  • Model training
SSD and Applications
  • Introduction to SSD
  • Focusing on feature maps
  • Model training
R-FCN and Applications
  • Introduction to R-FCN
  • ROI in R-FCN
  • Model training