Lesson 1Ambiguity in Data StreamsNavigating uncertainty and noise in real-world vision inputs.Start2 Micro-lessonsMicro lesson 1Misleading Confidence from Clean DataMicro lesson 2Ignoring Sensor Drift
Lesson 2Systemic Trade-offsBalancing accuracy, speed, and robustness in vision pipelines.Start2 Micro-lessonsMicro lesson 1Over-Optimizing for SpeedMicro lesson 2Neglecting Edge Case Handling
Lesson 3Failure Modes and RecoveryRecognizing, containing, and recovering from rare but costly vision failures.Start2 Micro-lessonsMicro lesson 1Delayed Detection of Silent FailuresMicro lesson 2Premature Recovery Actions