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Overview of Object Detection Evaluation Metrics
Computer Vision   Data Science   Latest   Machine Learning

Overview of Object Detection Evaluation Metrics

Last Updated on August 28, 2023 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

How to Measure the Accuracy of Object Detection Models?

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When evaluating the performance of an object detector, we use two main evaluation metrics: FPS (frame-per-second) to measure the network detection speed and mAP (mean Average Precision) to measure the network precision. In this article, we will go through each of them, discussing what they mean and how to calculate each of them.

FPS to Measure the Detection SpeedmAP to Measure the Network Precision2.1. Intersection Over Union (IoU)2.2. Precision-Recall Curve (PR Curve)

When it comes to object detection algorithms, processing speed is of paramount importance. The most common metric that is… Read the full blog for free on Medium.

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