Mohadra
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Computer Vision

Image Classification

A course for mastering judgment in ambiguous image classification scenarios, focusing on system limits, trade-offs, and long-term consequences.
Goal:
Learn how images are categorized.
3Lessons
6Micro-lessons
AdvancedDifficulty
Lesson 1

Ambiguity in Image Labels

Explore how ambiguous labels create subtle risks in classification systems.
Start2 Micro-lessons

Micro lesson 1
When Labels Seem Clear But Aren't
Micro lesson 2
Cost of Forcing Consensus
Lesson 2

Edge Cases and System Drift

Analyze how rare cases and gradual drift undermine classification reliability.
Start2 Micro-lessons

Micro lesson 1
Ignoring Rare Images
Micro lesson 2
System Drift Over Time
Lesson 3

Feedback Loops and Overfitting

Understand how feedback and overfitting create compounding errors.
Start2 Micro-lessons

Micro lesson 1
Feedback Loops in Labeling
Micro lesson 2
Overfitting as a Hidden Trap