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Computer Vision Section 067

Evaluating Vision Models

The numbers that tell you whether a vision model is any good, and how to read them without fooling yourself.

Every lesson in this section is written by .

9 of 9 lessons published Three reading levels on every lesson

Start with “Mean average precision”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Mean average precision
  2. Detection error analysis
  3. Segmentation metrics
  4. Keypoint metrics: OKS and PCK
  5. Tracking metrics: MOTA and HOTA
  6. Measuring OCR accuracy
  7. FID and generative image metrics
  8. Testing robustness to corruptions
  9. Grad-CAM and saliency maps