Image Paragraph Captioning
Introduced by Krause et al. in A Hierarchical Approach for Generating Descriptive Image Paragraphs
The Image Paragraph Captioning dataset allows researchers to benchmark their progress in generating paragraphs that tell a story about an image. The dataset contains 19,561 images from the Visual Genome dataset. Each image contains one paragraph. The training/val/test sets contains 14,575/2,487/2,489 images.
Since all the images are also part of the Visual Genome dataset, each image also contains 50 region descriptions (short phrases describing parts of an image), 35 objects, 26 attributes and 21 relationships and 17 question-answer pairs.
Source: A Hierarchical Approach for Generating Descriptive Image ParagraphsBenchmarks
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Image Paragraph Captioning
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HSGED
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Image Paragraph Captioning
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VLIS
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Papers
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