![]() ![]() V7 allows you to build image classifiers, object detectors, OCR, and semantic segmentation models. Mean Average Precision (mAP) for Object DetectionĪnd in case you are interested in building your own computer vision models-you are in for a treat! V7 gives you access to one of the best Open Datasets libraries and the tools to annotate your data and train your AI models in hours, not weeks.The mAP is also used across several benchmark challenges such as Pascal, VOC, COCO, and more. Many object detection algorithms, such as Faster R-CNN, MobileNet SSD, and YOLO use mAP to evaluate the their models. Mean Average Precision (mAP) is commonly used to analyze the performance of object detection and segmentation systems. ![]() If you’ve ever built an object detector or or dabbled with projects involving information retrieval and re-identification (ReID), you’ve probably come across the metric called Mean Average Precision (mAP). ![]()
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