Non-Maximum Suppression refers to techniques, models, or evaluation ideas used in computer vision to analyze visual media. Practitioners apply it when building detection, recognition, generation, or measurement pipelines that operate on images or video.
AI Glossary
Non-Maximum Suppression
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Non-Maximum Suppression refers to techniques, models, or evaluation ideas used in computer vision to analyze visual media. Practitioners apply it when building detection, recognition, generation, or measurement pipelines that operate on images or video.
Definition
Plain English explanation
Non-Maximum Suppression relates to teaching machines to interpret visual media.
Related glossary terms
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Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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