Bounding Box 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
Bounding Box
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Bounding Box 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
Bounding Box relates to teaching machines to interpret visual media.
Related glossary terms
Last reviewed
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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