Object Detection
/ˈɒbdʒɪkt dɪˈtɛkʃən/
A computer vision task that identifies and localizes objects within an image using bounding boxes.
Object detection combines classification and localization. Popular architectures include YOLO (real-time), Faster R-CNN (accurate), and DETR (transformer-based).
Examples
- YOLO for real-time detection
- Faster R-CNN for high accuracy
- Pedestrian detection in autonomous driving