Multi-Object Tracking Accuracy (MOTA)

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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Multi-object tracking accuracy (MOTA) shows how many errors the tracker system has made in terms of misses, false positives, mismatch errors, etc. Therefore, it can be derived from three error ratios: the ratio of misses, the ratio of false positives, and the ratio of mismatches over all the frames.

About the metric

You can click on the links to see the associated metrics

Objective(s):

Performance
Robustness & digital security

Lifecycle stage(s):

Build & interpret model

Target users:

Developer
System integrators

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.