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

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

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

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies