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

• Published in: Multimedia tools and applications Vol. 82; no. 6; pp. 9243 - 9275
• Main Authors: Diwan, Tausif, Anirudh, G., Tembhurne, Jitendra V.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2023; Springer Nature B.V
• Subjects: 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

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...