Department of Electrical and Electronics Engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1925

Browse

Filters

20221

Settings

Author: search.filters.author.Bitragunta, SainathSubject: search.filters.subject.CNN

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Comparative Performance Study of CNN-based Algorithms and YOLO
    (IEEE, 2022) Bitragunta, Sainath
    Tasks such as image classification, object detection, to mention a few, play an important role in computer vision. Numerous algorithms have been developed to improve the performance of such tasks for benchmark datasets. Although advanced algorithms offer state-of-the-art performance on such tasks, it is also important to analyze their algorithmic feasibility over the time to make it practical for end-user applications. This paper analyzes two such groups of algorithms, namely, Convolutional Neural Networks (CNN) based algorithms with You Only Look Once (YOLO) in terms of speed and accuracy.