Choose an appropriate model: The choice of model depends on the specific use case and the trade-offs between accuracy and speed. Two-stage detectors are generally more accurate but slower, while single-stage detectors are faster but less accurate.

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques.

The performance of an object detection model is evaluated using metrics such as Average Precision (AP), precision-recall curve, F1 score, as well as the mean average precision (mAP) across different object categories.