Class Confusion & Segmentation Metrics: Dice vs IoU
This lesson is part of the course
In this lesson
You read a class confusion matrix of matched detections, measure the pallet-forklift mix-up, and compare IoU and Dice on the pixel counts of five segmentation masks.
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Lessons in this course
- Bounding Box Geometry: Corners, Centre & YOLO Format Locked
- Intersection over Union (IoU) with MAX and MIN Locked
- Matching Predictions to Ground Truth: TP, FP & FN at IoU ≥ 0.5 Locked
- Precision & Recall at Confidence Thresholds Locked
- The Precision-Recall Curve, Point by Point Locked
- Average Precision: 11-Point vs All-Point Interpolation Locked
- mAP Across Classes & mAP@[.5:.95] Locked
- Class Confusion & Segmentation Metrics: Dice vs IoU Locked