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Free computer vision course

Computer Vision and Multimodal AI

Module 07

Classification Evaluation and Error Analysis

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Units

  1. Unit 07.00: Classification Evaluation and Error Analysis: Treat images as data with ethics and permission checks
  2. Unit 07.01: Classification Evaluation and Error Analysis: Prepare image files, arrays, labels, and preprocessing steps
  3. Unit 07.02: Classification Evaluation and Error Analysis: Build or inspect a small model or vision pipeline
  4. Unit 07.03: Classification Evaluation and Error Analysis: Review errors, bias, privacy, and dataset limits
  5. Unit 07.04: Classification Evaluation and Error Analysis: Write the model-card or vision-workflow note

Module work