Designing a deep learning model to detect objects

@article{1702435,
      author = {Chandan Gopal Vishwakarma, Swapnil Sonawane, Nikhil Mahadik, Dr. J. W. Bakal},
      title = {Designing a deep learning model to detect objects},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {1},
      pages = {113-120},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702435.pdf},
      abstract = {Object detection is to identify objects in the image along with its localization and classification. This paper deals in the area of computer vision, mainly for the application of deep learning in the object detection task.  On the one  hand,  there?s  a  straightforward summary of the dataset and deep learning algorithms commonly  utilized   in   computer   vision.   There?s   a literature survey of papers containing different current approaches like faster r-cnn, Yolo, etc. A literature survey   is   represented   in   tabular   form   with   our inference.},
      keywords = {Object Detection, Dataset, Convolutional Neural Network, Computer Vision.},
      month = {July},
  }