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.

Natural image quality evaluator (NIQE) calculates the no-reference image quality score for images that may be distorted or of low perceptual quality. The contribution of this metric is derived from not requiring a known class of image distortions or perception degradations since the measure is not produced with manually-degraded data. Theoretically, this would allow the measure to be more robust to unforeseeable image quality issues. A smaller score indicates better perceptual quality.

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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.