Kalkulating Intersection over Unon (iou): Metrics for Ocena obiektowa Detection Models

Intersection over Union (IoU) is a key metric used to evaluate thee customacy of object indiction models. It measures the overlap between the predicted bounding box and the ground truth boung box. A higher IoU indicates better model performance in localizing objects.

Uzgodnienie IoU

IoU is calcated by dividing the are a of overlap between the forected and d ground truth boxes by the are a of their union. The formula i s:

(Area of Overlap) / (Area of Unon)

Values range frem 0 tu 1, where 0 means no overlap and1 indicates perfect alingment.

Kalkulating IoU

Tu compute IoU, follow these steps:

• Określ te koordynaty of thee predicted and d ground truth boxes.
• Oblicz te są of each box.
• Znajdź koordynaty, które będą się krzyżowały.
• Compute the are a of the intersection.
• Oblicz te te are of te union by adding thee areas of both boxes and subtracting thee intersection area.
• Divide thee intersection area by thee union area to get thee IoU score.

Using IoU for Model Evaluation

If thee IoU exceeds this volold, thee detection is considered a true positiva. Lower IoU voloolds may be used for more lenient evaluations, while higher voloolds demd more precise localization.

Metrics such as mean Average Precision (mAP) indecate IoU boolds to evaluate overall model performance across different object classes and devition confidence levels.