Object Detection
term_id: object_detection
Category: basic_concepts
Definition
Object detection extends image classification by not only determining what objects are present but also where they are located. It outputs bounding coordinates around detected items along with their class labels. Common algorithms include YOLO (You Only Look Once), SSD (Single Shot Detector), and Faster R-CNN. This technology is foundational for applications requiring spatial awareness, such as autonomous vehicles navigating traffic or robots manipulating physical objects in unstructured environments.
Summary
A computer vision technique that identifies and localizes objects within images or video streams using bounding boxes.
Key Concepts
- Bounding Boxes
- Class Labels
- YOLO
- Faster R-CNN
Use Cases
- Autonomous vehicle navigation
- Retail inventory management
- Security camera monitoring