✦Sparkl
builder · senses

Computer Vision Projects

Build AI models that can see and understand images, from detecting objects to creating your own hand-sign detector. Learn how computers gain the power of sight through hands-on projects.

20 modules·Difficulty: ★★★★☆· 5 Free
Start module 1

Modules

  • 1
    Free8 min
    How Computers See the World
    Discover how images become grids of numbers that computers can read and understand 📸
  • 2
    Free10 min
    Pixels, Colors, and Brightness
    Learn how tiny colored dots called pixels form every digital image you see
  • 3
    Free9 min
    What Is Object Detection?
    Explore how AI finds and labels objects like faces, cars, or animals in photos
  • 4
    Free11 min
    Teaching Machines With Labeled Images
    Understand supervised learning where you show the computer examples with correct answers
  • 5
    Free10 min
    Feature Detection Basics
    See how computers spot edges, shapes, and textures to recognize patterns in images
  • 6
    Paid12 min
    Build Your First Image Classifier
    Train a simple model to tell cats from dogs using a starter dataset
  • 7
    Paid11 min
    Understanding Bounding Boxes
    Learn how rectangles drawn around objects help the AI know where things are located
  • 8
    Paid10 min
    Collecting Your Own Dataset
    Capture and label photos to create training data for your custom vision project
  • 9
    Paid12 min
    Data Augmentation Techniques
    Flip, rotate, and adjust images to multiply your dataset and boost model performance
  • 10
    Paid11 min
    Avoiding Overfitting in Vision Models
    Discover why models sometimes memorize instead of learn and how to fix that problem
  • 11
    Paid12 min
    Multi-Class Object Recognition
    Train models to identify many different object types in a single image at once
  • 12
    Paid11 min
    Measuring Model Accuracy
    Use precision, recall, and confusion matrices to see how well your detector works
  • 13
    Paid10 min
    Transfer Learning for Faster Training
    Borrow knowledge from huge pre-trained models to speed up your project
  • 14
    Paid12 min
    Real-Time Detection Challenges
    Understand why detecting objects in live video is harder than analyzing still photos
  • 15
    Paid11 min
    Ethics of Visual AI
    Explore privacy, bias, and fairness when AI systems process images of people
  • 16
    Paid12 min
    Designing Your Hand-Sign Detector
    Plan the gestures, dataset structure, and model architecture for your capstone project
  • 17
    Paid11 min
    Training the Hand-Sign Model
    Combine everything you learned to train a detector that recognizes custom hand gestures
  • 18
    Paid10 min
    Testing and Improving Performance
    Debug errors, add more training data, and tune hyperparameters to boost accuracy
  • 19
    Paid12 min
    Deploying Your Vision Project
    Make your hand-sign detector available for others to try and share your AI creation
  • 20
    Final exam10 min
    Computer Vision Mastery Exam
    Show what you know about pixels, models, datasets, and building AI that sees