Computer Vision

The course is about:

The most popular algorithms

The techniques to train the models

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

Applications

• Disease detection
• Product quality control
• Autonomous driving