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Datasets:
AhmedSSabir
/
Textual-Image-Caption-Dataset

Tasks:
Image-to-Text
Image Classification
Visual Question Answering
Modalities:
Text
Languages:
English
ArXiv:
Tags:
image captioning
language grounding
visual semantic
semantic similarity
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@@ -54,7 +54,8 @@ For quick start please have a look this [demo](https://github.com/ahmedssabir/Te
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- For unsupervised learning
 
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  1. [Download CC](https://www.dropbox.com/s/pc1uv2rf6nqdp57/CC_caption_40.txt.zip) -> Caption dataset from Conceptinal Caption (CC) 2M (2255927 captions)
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  2. [Download CC+wiki](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> CC+1M-wiki 3M (3255928)
 
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+ For future work, we plan to extract the visual context from the caption (without using a visual classifier) and estimate the visual relatedness score by
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+ employing unsupervised learning (i.e. contrastive learning). (work in progress)
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  1. [Download CC](https://www.dropbox.com/s/pc1uv2rf6nqdp57/CC_caption_40.txt.zip) -> Caption dataset from Conceptinal Caption (CC) 2M (2255927 captions)
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  2. [Download CC+wiki](https://www.dropbox.com/s/xuov24on8477zg8/All_Caption_ID.csv?dl=0) -> CC+1M-wiki 3M (3255928)