UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304A51


Registration ID:
513629

Page Number

k344-k357

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Title

Using an Autonomous Image Shooting System for Deep Learning-based Object Detection and Labelling

Abstract

The activity of using words to describe a picture is known as image captioning. It is most frequently used when one needs automatic textual information on a certain image. By coming up with succinct explanations for pictures that might convey thorough, this strategy gets over restrictions by telling cohesive narrative. It creates a model that deconstructs both words and images into their constituent pieces by identifying linguistic zones in images using NLP and LSTM models. It also demonstrates how the LSTM Method has been used with extra features for excellent performance. The Gated Recurrent Unit (GRU) Method and the LSTM Method are contrasted in this study. The evaluation utilizing BLEU Metrics determines the best strategy, with an efficiency of 80%. The text generated by the algorithm has been evaluated using a variety of captioning performance metrics. The accuracy of the obtained statements is discussed in the grading. Different methods are tested, and the results show that the LSTM approach has an efficiency of 80%. This provides the most effective outcomes for the Visual Genome Dataset. Future research might enlarge its reach to enable better system usage by all scholars.

Key Words

text detection, machine learning, computer vision

Cite This Article

"Using an Autonomous Image Shooting System for Deep Learning-based Object Detection and Labelling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k344-k357, April-2023, Available :http://www.jetir.org/papers/JETIR2304A51.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Using an Autonomous Image Shooting System for Deep Learning-based Object Detection and Labelling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk344-k357, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A51.pdf

Publication Details

Published Paper ID: JETIR2304A51
Registration ID: 513629
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: k344-k357
Country: gautam budth nagar, uttar pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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