The Revelation of Dog Genres using the YOLO Model

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@article{1705268,
      author = {Swati Singh, Anchal Gupta, Mithilesh Vishwakarma},
      title = {The Revelation of Dog Genres using the YOLO Model},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {6},
      pages = {134-138},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705268.pdf},
      abstract = {Pet dogs are gifted resources for humans due to their emotions and physical characteristics. They have variety among themselves like Beagle, Pomeranian, Pug, American Staffordshire, and Chihuahua. The proposed model represents the Revelation of Dogs genre. Until today date researchers had commonly done object detection so we have focused on dogs? genre revelation which is a challenging task as it contains many different appearances which makes it difficult to spot a difference between the genre of dogs. The revelation of dogs has become very challenging and this revelation is taken on deep learning concepts and also training the dataset which helps to train the model that predicts and gives accuracy at different levels. The proposed model makes use of the makesense.ai application to create boundary boxes and classes. The proposed model has used the Yolo model v5 to train the dataset. This paper documents an ample dataset of dog genres gathered from Kaggle and the training process of the detector. The proposed model has taken a total of five genres of dog images as a dataset. The Yolo model has given good accuracy.},
      keywords = {Revelation of Dogs genres, Authentication, Supervised Learning Model, Revelation, Detection, Deep Learning.},
      month = {December},
  }