Performance analysis of deep learning-based object detection algorithms on COCO benchmark: a comparative study

Performance analysis of deep learning-based object detection algorithms on COCO benchmark: a comparative study

Abstract This paper thoroughly explores the role of object detection in smart cities, specifically focusing on advancements in deep learning-based methods. Deep learning models gain popularity for their autonomous feature learning, surpassing traditional approaches. Despite progress, challenges rema...

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Bibliographic Details
Main Authors: Jiya Tian, Qiangshan Jin, Yizong Wang, Jie Yang, Shuping Zhang, Dengxun Sun
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of Engineering and Applied Science
Subjects:
Object detection
Deep learning
Performance analysis
Accuracy
COCO dataset
Online Access:https://doi.org/10.1186/s44147-024-00411-z

Internet

https://doi.org/10.1186/s44147-024-00411-z

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