Segmentation Evaluation

Segmentation evaluation assesses how well a computer program can identify and separate specific parts of an image, like objects or regions, from the background. It compares the program’s output to a ground truth—a correct, expert-made standard—to measure accuracy. Metrics such as the Intersection over Union (IoU), precision, and recall are used to quantify this performance. Essentially, it helps determine whether the segmentation method accurately captures the target areas while minimizing errors like missed parts or false positives, ensuring the approach is reliable for applications like medical imaging, autonomous vehicles, or image analysis.