Object Detection
A computer vision task that identifies and locates objects within an image by drawing bounding boxes around them and classifying each object.
How It Works
Object detection combines classification (what is this?) with localization (where is it?). The model outputs a set of bounding boxes, each with a class label and confidence score.
Key Architectures
YOLO (You Only Look Once): Real-time detection in a single pass. Faster R-CNN: Two-stage detector with higher accuracy. DETR: Transformer-based end-to-end detection. RT-DETR: Real-time transformer detector.
Applications
Autonomous driving (detecting pedestrians, vehicles, signs), surveillance, retail analytics, medical imaging, quality inspection in manufacturing, and wildlife monitoring.