Dog Breed Identification and Age Detection using Neural Networks

  • Unique Paper ID: 154419
  • Volume: 8
  • Issue: 11
  • PageNo: 125-131
  • Abstract:
  • In this work, dog breed identification and dog age detection is proposed. Python and TensorFlow are used to write the program. TensorFlow is an open- sourcedeep learning framework created by Google that gives developers granular control over each neuron (known as a “node” in TensorFlow) so we can adjust the weights and achieve optimal performance. The breed identification and age detection of dogs is done using CNN, KNN and SVM algorithms and the best accuracy was found to be 97.8% for breed identification and 77.4% for age detection of dogs for the CNN model.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{154419,
        author = {Prachiti Ajay Godhane and Amisha Ravindra Jadhav and Aditya Narayan Iyer and Parthesh Sanjay Haswar and Dr. Ankita Malhotra},
        title = {Dog Breed Identification and Age Detection using Neural  Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {125-131},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154419},
        abstract = {In this work, dog breed identification and dog age detection is proposed. Python and TensorFlow are used to write the program. TensorFlow is an  open- sourcedeep learning framework created by Google that gives developers granular control over each neuron (known as a “node” in TensorFlow) so we can adjust the weights and achieve optimal performance. The breed identification and age detection of dogs is done using CNN, KNN and SVM algorithms and the best accuracy was found to be 97.8% for breed identification and 77.4% for age detection of dogs for the CNN model.
},
        keywords = {Image Classification, Tensor flow, Deep Learning, Neuron,  Feature,  Libraries,  Neural Networks.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 11
  • PageNo: 125-131

Dog Breed Identification and Age Detection using Neural Networks

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