Tutorvo

The Precision-Recall Curve, Point by Point

Lesson 5 of 816 minLab

This lesson is part of the course

In this lesson

You walk down the ranked detections, accumulate TP and FP, calculate precision and recall after every box and draw the precision-recall curve as a scatter chart.

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Lessons in this course

  1. Bounding Box Geometry: Corners, Centre & YOLO FormatLab12 min Locked
  2. Intersection over Union (IoU) with MAX and MINLab15 min Locked
  3. Matching Predictions to Ground Truth: TP, FP & FN at IoU ≥ 0.5Lab16 min Locked
  4. Precision & Recall at Confidence ThresholdsLab15 min Locked
  5. The Precision-Recall Curve, Point by PointLab16 min Locked
  6. Average Precision: 11-Point vs All-Point InterpolationLab18 min Locked
  7. mAP Across Classes & mAP@[.5:.95]Lab15 min Locked
  8. Class Confusion & Segmentation Metrics: Dice vs IoULab15 min Locked