• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2021

    5.610

    Impact Factor 2022

    6.247

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

LEVERAGING NEURAL NETWORK ALGORITHMS AND TECHNIQUES IN THE EFFECTIVE DETECTION OF BREEDS OF VARIOUS ANIMALS

Namrata Deswal

GD Goenka World Institute Lancaster University, Gurugram, Haryana

78 - 82 Vol. 3, Jan-Dec, 2017
Receiving Date: 2017-09-02;    Acceptance Date: 2017-10-01;    Publication Date: 2017-10-14
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Abstract

Completed many analysis in breed detection utilizing picture handling by numerous specialists, executed in different applications like an electronic clinical record for creatures that assist with recognizing canines using picture handling. A few specialists have worked on identifying fiducial focuses on faces, which has expanded progress in AI. A few analysts have made an application that helps observe missing young doggies by removing the facial, including convolutional brain organizations. These papers have an essential spotlight on picture handling. As indicated by these proposed frameworks, the interaction is perplexing, and pre-handling may not be exact, assuming the creature in the picture is to some degree stowed away. Likewise, considering various animals in the image, the proposed framework doesn't perceive every one of the creatures. Through this review, we are attempting to conquer the deficiencies of these frameworks.

Keywords: neural network; animal breeds; Feature Extraction process

    References

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