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Intermediate12 weeks

Computer Vision

Build AI systems that see and understand the visual world.

OpenCV, YOLOv8, face recognition.

What You'll Learn

Process images with OpenCV: filtering, thresholding, morphological operations
Detect edges, contours, and shapes in real-time video
Build image classifiers with CNNs
Detect objects with YOLOv8 (state-of-the-art)
Perform face detection and face recognition
Segment objects and scenes with semantic segmentation
Deploy a vision model for real-time webcam processing

Course Curriculum

Week 1–2OpenCV Fundamentals
  • Image representation: pixels, channels, colour spaces
  • Thresholding and edge detection (Canny)
  • Contour detection and shape analysis
  • Real-time video capture and processing
Week 3–4Classical Computer Vision
  • SIFT, ORB feature descriptors
  • Image stitching and panoramas
  • Optical flow for motion detection
  • Background subtraction
Week 5–7Object Detection with YOLO
  • CNN refresher for vision tasks
  • YOLOv8 architecture and inference
  • Training YOLO on custom datasets
  • Real-time object detection on webcam
Week 8–9Face Recognition & Segmentation
  • Face detection (Haar, MTCNN, MediaPipe)
  • Face recognition with FaceNet/DeepFace
  • Semantic segmentation with U-Net
  • Instance segmentation basics
Week 10–12Projects & Deployment
  • Streamlit-based vision dashboard
  • Model optimisation for edge devices
  • Deploying on Raspberry Pi/web
  • Capstone presentations

Projects You'll Build

Real-time attendance via face recognitionPothole detection for smart roadsPlant disease identifier for farmersGesture-controlled presentation app

Tools & Technologies

PythonOpenCVYOLOv8 (Ultralytics)TensorFlow/KerasMediaPipeStreamlitGoogle Colab
Prerequisites
  • ▸Deep Learning & Neural Networks (or equivalent)
  • ▸Python proficiency
  • ▸Basic understanding of CNNs
Who It's For
  • ▸College students (CS, ECE, robotics)
  • ▸Developers building image or video applications
  • ▸Anyone targeting CV or ML engineering roles

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Computer Vision

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12 weeks
Duration
Intermediate
Level
Yes
Certificate
Online / Offline
Mode