✦Sparkl
builder · senses

Image Classifier Basics

Build your own AI that recognizes images by training a simple classifier and deploying it as a web demo. Learn how machines see patterns in pictures!

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

Modules

  • 1
    Free8 min
    What Do Machines See?
    Discover how computers turn pictures into grids of numbers and why that matters for AI 🤖
  • 2
    Free10 min
    Building an Image Dataset
    Learn what datasets are and how to collect photos for training an image classifier.
  • 3
    Free9 min
    Labels: Teaching AI What's What
    Explore how labeling images tells the AI which photo shows which object.
  • 4
    Free11 min
    Features: Edges, Colors, and Shapes
    See how classifiers spot patterns by looking at features like edges and textures in images.
  • 5
    Free10 min
    Training vs. Testing Data
    Understand why we split our dataset into training images and testing images.
  • 6
    Paid12 min
    Your First Classifier: Three Classes
    Build a simple three-class image classifier using a beginner-friendly tool.
  • 7
    Paid10 min
    What Is Accuracy?
    Learn how to measure how often your classifier gets the right answer.
  • 8
    Paid11 min
    Mistakes and Confusion Matrices
    Discover which classes your AI confuses and why mistakes happen.
  • 9
    Paid9 min
    Balancing Your Dataset
    Find out why having equal numbers of photos per class helps your model learn better.
  • 10
    Paid10 min
    Ethics of Image Labeling
    Explore fairness, privacy, and respect when labeling images of people and places.
  • 11
    Paid12 min
    Overfitting: When AI Memorizes
    Learn why a classifier that works perfectly on training data might fail on new images.
  • 12
    Paid11 min
    Adding More Training Images
    See how collecting diverse photos improves your classifier's performance.
  • 13
    Paid10 min
    Hyperparameters: Tuning Your Model
    Discover the settings you can adjust to make your classifier smarter.
  • 14
    Paid9 min
    Bias in Vision Models
    Understand how unbalanced or limited data can create unfair AI predictions.
  • 15
    Paid12 min
    Testing in the Wild
    Try your classifier on real photos from the web and see where it struggles.
  • 16
    Paid11 min
    Preparing Your Model for Deployment
    Get your trained classifier ready to run outside the training environment.
  • 17
    Paid10 min
    Building a Simple Web Interface
    Create a basic webpage where users can upload an image and see the prediction.
  • 18
    Paid12 min
    Deploying Your Classifier Demo
    Launch your web demo so others can test your image classifier live.
  • 19
    Paid11 min
    Real-World Image Classifiers
    Explore how image classification is used in apps, safety systems, and science today.
  • 20
    Final exam15 min
    Final Challenge: Image Classifier Mastery
    Test everything you learned about building, training, and deploying image classifiers.