It’s important to understand which metric should be used to evaluate trained object detectors and which one is more important. Is mAP alone enough to evaluate the objector models? Can the same metric be used to evaluate object detectors on validation set and test set?
Originally from KDnuggets https://ift.tt/30xacGC
source https://365datascience.weebly.com/the-best-data-science-blog-2020/metrics-to-use-to-evaluate-deep-learning-object-detectors
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