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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Exploring Image-Text Alignment with Flicker Data : A Deep Learning Approach
Authors
CHIRIKI USHA, Geetha Arsha Surisetty, Kodukula Satya Gopal, Sumith Kumar Poddar, Mathurthi Pavani
Keywords
Image Captioning, CNN, LSTM, VGG16, BLEU Score, Flickr 8k Dataset, Deep Learning.
Abstract
The Image Caption Generator project aims to bridge the gap between visual data & NL by automatically generating descriptive captions for images. The mode combines the strengths of CNNs and LSTM networks. Specifically, VGG16, a pre-trained CNN model, is used to extract deep features from images, which are then passed to an LSTM network to produce captions. Model's performance is evaluated using the BLEU score to assess how well the generated captions align with human-written ones. The Flickr 8k dataset, containing 8 thousand images each paired with five captions, serves as the primary dataset for training and testing. Implemented in Python, Jupyter Notebook, and Google Colab, the model is flexible and scalable, making it suitable for various real-world usage like accessibility and content management.
IJCRT's Publication Details
Unique Identification Number - IJCRT2502566
Paper ID - 277554
Page Number(s) - e841-e843
Pubished in - Volume 13 | Issue 2 | February 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
CHIRIKI USHA, Geetha Arsha Surisetty, Kodukula Satya Gopal, Sumith Kumar Poddar, Mathurthi Pavani, "Exploring Image-Text Alignment with Flicker Data : A Deep Learning Approach", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 2, pp.e841-e843, February 2025, Available at :http://www.ijcrt.org/papers/IJCRT2502566.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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