Chapter 8

Evaluation

A single accuracy number hides as much as it reveals. This chapter covers the full evaluation toolkit for CV: standard classification metrics (precision, recall, F1, AUC), mean Average Precision (mAP) for detection, mean IoU for segmentation, and the discipline of error analysis. It closes with computational efficiency, the often-neglected second axis every deployment decision must account for.

• 1. Evaluating Image Classification→
• 2. Evaluating Object Detection→
• 3. Evaluating Image Segmentation→
• 4. Error Analysis and Computational Efficiency→