VISUAL IMAGE CAPTION GENERATOR USING LSTM Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.56726/irjmets34029
In the current era, photo captioning has end up one of the maximum broadly required tools.Moreover, there are built in programs that generate and offer a caption for a sure photo, all this stuff are achieved with the assist of deep neural community fashions.The version is skilled to maximise the chance of the goal description sentence given the education photo.Image Caption Generation has usually been a examine of exquisite hobby to the researchers withinside the Artificial Intelligence department.In this paper, an superior photo captioning version-along with item detection, colour analysis, and photo captioning-is proposed to mechanically generate the textual descriptions of photographs.The integration of the photo caption and colour popularity is then achieved to offer higher descriptive information of photographs.Being capable of software a system to correctly describe a photo or an surroundings like a median human has foremost programs withinside the subject of robot vision, business, Skin vision and plenty of more.A US Company is predicting crop yield the use of photographs from satellite.we gift distinct photo caption producing fashions primarily based totally on deep neural networks, focusing at the diverse RNN, CNN, LSTM strategies and reading their impact at the sentence era which version offers higher accuracy and generates the preferred results.
Related Topics
- Type
- article
- Language
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- http://doi.org/10.56726/irjmets34029
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https://openalex.org/W4323074522Canonical identifier for this work in OpenAlex
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https://doi.org/10.56726/irjmets34029Digital Object Identifier
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VISUAL IMAGE CAPTION GENERATOR USING LSTMWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-03-04Full publication date if available
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Arpit Yadav, Simran Sharma, Rajkumar Balmeeki, Mamta SharmaList of authors in order
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https://doi.org/10.56726/irjmets34029Publisher landing page
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https://doi.org/10.56726/irjmets34029Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.56726/irjmets34029Direct OA link when available
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Generator (circuit theory), Image (mathematics), Computer science, Artificial intelligence, Computer graphics (images), Computer vision, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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