📊 Evaluation Metrics
AI Performance Metrics
Understand Precision, Recall, F1-Score, mAP and IoU to evaluate and improve your models
10+
Metrics
99%+
Target
mAP
Standard
Key Features
What Makes This Technology Special
Precision
Ratio of correct detections out of all detections made
Recall
Ratio of objects detected out of all objects present
F1-Score
Harmonic mean of Precision and Recall
mAP (Mean Average Precision)
Global standard for measuring Object Detection performance
IoU (Intersection over Union)
Measure overlap between predicted and ground truth boxes
Confusion Matrix
Table showing True/False Positive/Negative breakdown
Benefits
Why You Need This Technology
Choose Models Correctly
Compare models systematically with numerical metrics
Targeted Improvement
Identify model weaknesses for focused optimization
Client Communication
Report results using standardized metrics
Global Standards
Use the same metrics as global research and industry
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