Dog Breed Identification and Age Detection using Neural  Networks

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Dog Breed Identification and Age Detection using Neural Networks
Author(s):
Prachiti Ajay Godhane, Amisha Ravindra Jadhav, Aditya Narayan Iyer, Parthesh Sanjay Haswar, Dr. Ankita Malhotra
Keywords:
Image Classification, Tensor flow, Deep Learning, Neuron, Feature, Libraries, Neural Networks.
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.
Article Details
Unique Paper ID: 154419 Publication Volume & Issue: Volume 8, Issue 11 Page(s): 125 - 131
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org