YOLO-based Object Detection Models: A Review and its Applications

• Published in: Multimedia tools and applications Vol. 83; no. 35; pp. 83535 - 83574
• Main Authors: Vijayakumar, Ajantha, Vairavasundaram, Subramaniyaswamy
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2024; Springer Nature B.V
• Subjects: Accuracy; Computer Communication Networks; Computer Science; Computer vision; Data Structures and Information Theory; Detectors; Inference; Multimedia Information Systems; Object recognition; Performance measurement; Real time; Special Purpose and Application-Based Systems; Telematics; Time measurement; Track 6: Computer Vision for Multimedia Applications; YOLO; Computer Vision; Dataset; Deep Learning; Object detection

In computer vision, object detection is the classical and most challenging problem to get accurate results in detecting objects. With the significant advancement of deep learning techniques over the past decades, most researchers work on enhancing object detection, segmentation and classification. O...