Fréchet Inception Distance (FID)

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

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The Fréchet inception distance (FID) typically measures the quality of image generative models. More specifically, FID is a semimetric commonly applied to generative models based on generative adversarial networks (GANs), which was among the first generative modeling approaches to find success generating images.

About the metric

You can click on the links to see the associated metrics

Objective(s):

Performance
Privacy & data governance
Transparency & explainability

Purpose(s):

Recognition/object detection
Content generation

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.