People/ Human detection and tracking were critical features of the monitoring system due to their relevance for prompt identification of persons, human activity recognition, and scene analysis. 

According to the real-time use-case, we can accelerate the human/people detection model by around 20% by working and training a dataset.  

This podcast covers the different perspectives of human/people detection technical metrics. Here are the four significant portions this podcast would answer: 

1. How and when bounding box and segmentation approach is utilized in people detection? 

2. The 6 significant technical terms required to understand people detection accuracy metrics 

3. When to use average precision (AP) and Mean average precision (mAP)? 

4. Three demonstration scenarios for implementing and discussing accuracy metrics

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