Modern real-time object detection technology is represented by the acronym “You Only Look Once,” or “YOLO.” YOLO uses a different approach than conventional detection techniques, which reuse classifiers or localizers and scan images at numerous scales and locations.
The image is segmented into sections using a single neural network that evaluates the entire image at once. The system forecasts bounding boxes and related probabilities for each of these regions. This ensures a more thorough and effective object detection process by determining the relevance of these bounding boxes based on the projected probability.
User objects:
– Computer vision researchers
– Robotics engineers
– Security system developers
– Autonomous vehicle developers
– Augmented reality developers
– AI product developers
– Surveillance professionals
– Wildlife researchers
– Retail analytics professionals
– Drone operators.
