Anzeige
Erschienen in:
2023 | OriginalPaper | Buchkapitel
Brand Logo Detection Using Slim YOLO-V4
verfasst von : Prateek Dwivedi, Sri Khetwat Saritha, Sweta Jain
Erschienen in: International Conference on Innovative Computing and Communications
Verlag: Springer Nature Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Images have been a rich source of information in recent years. Images are available in vast quantities, and most solutions necessitate real-time picture processing. This necessitates the creation of images with human-like capabilities for detecting and locating items in images. Object Detection is a branch of Computer Vision that has applications in a variety of domains, including Face Detection, Video Surveillance, Autonomous Driving Cars, and Medical Image Processing. Object detection should be quick and accurate. For accurate detection, all portions of the image should be searched for objects of all types and sizes. This necessitates a large computation cost as well as a significant quantity of time. It is natural and requires little effort for people, and researchers aim to create models that behave similarly to humans.