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