How to evaluate a computer vision model?

Precision, recall, and F1-score are the basics, but you need to consider your specific use case.

Don't forget about inference speed and model size - they're crucial for production deployment.

For object detection, mAP (mean Average Precision) is the standard metric across different IoU thresholds.