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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15170
Article Published : 6775
Total Authors : 18167
Total Reviewer : 663
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| Paper Title: | Dog breed classification using convolutional neural network and transfer learning |
| Authors Name: | Manasi Koli , Mansi Chalawari , Mrunal Deshmukh , Poonam Pathak |
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IJRTI_181505
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| Published Paper Id: | IJRTI2104016 |
| Published In: | Volume 6 Issue 4, April-2021 |
| DOI: | |
| Abstract: | Convolution Neural Networks (CNN) with the help of transfer learning the system used for dog breed classification and detection. It also considers the combination of multiple basic CNN models for dog breed can be classified and give immense improved performances. This model supports the classification of 133 dog breeds whereas capital punishment the model. CNN may be a structure designed to method real-world user-defined pictures. Consider, a dog image is chosen the model can classify Associate in Nursing establish an analysis of the dog breeds, this model is used as a neighborhood of mobile or net app for the real-world and user-definition image. once the image is given to the model for execution, it analyzes if a dog is a gift and returns the estimated breed. during this model, we tend to use a pair of datasets that are dog and human. whereas we tend to execute our scratch model it’s impossible to induce high accuracy therefore we tend to come up with the Resnet50 model that has high accuracy share up to eighty-six and higher than roughly that processes information at intervals less time with the assistance of GPU (Graphical Process Unit). The result that occurred has shown Brobdingnagian improvement of accuracy as compared to the scratch model. |
| Keywords: | Convolutional Neural Network, Transfer learning, ResNet50, Dog Breed Classification, Deep Convolutional Neural Networks. |
| Cite Article: | "Dog breed classification using convolutional neural network and transfer learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 4, page no.99 - 103, April-2021, Available :http://www.ijrti.org/papers/IJRTI2104016.pdf |
| Downloads: | 000204858 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2104016
Registration ID:181505
Published In: Volume 6 Issue 4, April-2021
DOI (Digital Object Identifier):
Page No: 99 - 103 Country: Uran, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2104016 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2104016 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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