Object detection using YOLO: challenges, architectural successors, datasets and applications

Object detection is one of the predominant and challenging problems in computer vision. Over the decade, with the expeditious evolution of deep learning, researchers have extensively experimented and contributed in the performance enhancement of object detection and related tasks such as object clas...

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Veröffentlicht in:	Multimedia tools and applications Jg. 82; H. 6; S. 9243 - 9275
Hauptverfasser:	Diwan, Tausif, Anirudh, G., Tembhurne, Jitendra V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2023 Springer Nature B.V
Schlagworte:	Accuracy Architecture Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Detectors Inference Machine learning Multimedia Information Systems Object recognition Performance enhancement Proposals Sensors Special Purpose and Application-Based Systems YOLO Deep learning Computer vision Convolutional neural networks Object detection
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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