This repository provides a toolkit to evaluate object detection algorithms by computing bounding-box based metrics. It calculates metrics such as Average Precision (AP), Mean Average Precision (mAP), recall, and precision using standard IoU thresholds. The tool supports common benchmark formats including PASCAL VOC and COCO, allowing developers to compare predictions against ground-truth annotations and generate performance curves for model evaluation.