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- W4382995786 abstract "Every individual has a different perspective of understanding the image. If there is no proper description of the image, then it could have a great impact on the people who does online shopping, using social media, websites, etc. To address this issue, image captioning came into picture. The caption to an image does not usually describe the image in great detail but instead works in conjunction with the image, which helps the user to better understand the content of the image. To solve this issue, a website is developed using CNN and Django framework which provides description to an image. The text description is further converted to audio which could help visually impaired person to understand the image. The experiment focuses on the InFashAIv1 dataset, which contains around 16,000 images of African fashion items." @default.
- W4382995786 created "2023-07-04" @default.
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- W4382995786 date "2023-01-01" @default.
- W4382995786 modified "2023-09-25" @default.
- W4382995786 title "Image Captioning on Apparel Using Neural Network" @default.
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- W4382995786 doi "https://doi.org/10.1007/978-981-99-1373-2_30" @default.
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