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

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...

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Bibliographic Details
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
ISSN:	1573-7721, 1380-7501, 1573-7721
Online Access:	Get full text
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