Normalized Mean Error (NME)

Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Overview Tools Metrics About the catalogue

Website

Normalized Mean Error (NME) is one of the most popular evaluation metrics in facial landmark detection benchmark.

About the metric

You can click on the links to see the associated metrics

Objective(s):

Performance

Purpose(s):

Recognition/object detection

Lifecycle stage(s):

Verify & validate

Target users:

Developer

Risk management stage(s):

Define
Assess

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.