Object Detection
Identifying and localizing multiple objects in an image with bounding boxes and class labels (YOLO, R-CNN, RetinaNet).
Related Concepts
- Computer Vision: Explore how Computer Vision relates to Object Detection
- Bounding Box: Explore how Bounding Box relates to Object Detection
- YOLO: Explore how YOLO relates to Object Detection
- R-CNN: Explore how R-CNN relates to Object Detection
Why It Matters
Understanding Object Detection is crucial for anyone working with computer vision. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Bounding Box
A rectangular box defined by coordinates that localizes an object in an image, used in object detection.
Computer Vision
The field of AI focused on enabling computers to understand and interpret visual information from images and videos.
R-CNN
Region-based CNN - an object detection approach using selective search and CNN features.
YOLO
You Only Look Once - a real-time object detection architecture treating detection as regression.