Generate A Textual Description Based on An Image

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dc.contributor.advisorDr. Mohammad Ashrafuzzaman Khan
dc.contributor.authorName: Shah Alvi Hossain
dc.contributor.authorMd. Tahmidur Rahman
dc.contributor.id1721427042
dc.contributor.id1721370042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2024-05-09
dc.date.accessioned2024-05-09T04:39:23Z
dc.date.available2024-05-09T04:39:23Z
dc.date.issued2022
dc.description.abstractThe project goal is to get the computer to detect what was going on in the image and provide a general description. Our approach is to build a dataset of images with in-depth descriptions to train an appropriate model to tell what objects are in the picture and make their relations relevant. The dataset is based on images from the web, where we collect the images and get a near accurate description. We collected the images and descriptions from authentic news websites and stored them on google sheets and GitHub. Grammar checking tools were used to test the description's grammar and generate better words. We used the encoderdecoder system to encode the image with a pre-trained Convolutional Neural Network (VGG16) in a hidden state. It would then use an LSTM to decode this concealed state and generate a caption.
dc.description.degreeUndergraduate
dc.identifier.cd600000055
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/631
dc.language.isoen_US
dc.publisherNorth South University
dc.rights© NSU Library
dc.subjectTECHNOLOGY::Electrical engineering, electronics and photonics::Electrical engineering
dc.titleGenerate A Textual Description Based on An Image
dc.typeProject
oaire.citation.endPage30
oaire.citation.startPage1
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