Definition
A computer vision technique that identifies and locates specific objects within images or video frames typically by drawing bounding boxes around them.
Detailed Explanation
Object detection combines classification and localization tasks not only identifying what objects are present but also where they are in the image. It typically uses deep learning architectures like YOLO R-CNN or SSD to process images and output both class predictions and bounding box coordinates for each detected object. The process involves feature extraction region proposal and classification stages.
Use Cases
1. Autonomous vehicles for detecting road elements 2. Retail inventory management 3. Wildlife monitoring 4. Security systems for threat detection