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Image Paragraph Captioning

Introduced by Jonathan Krause et al. in A Hierarchical Approach for Generating Descriptive Image Paragraphs20 Nov 2016 archive 2025-07-28

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 Paragraphs Image Source: https://cs.stanford.edu/people/ranjaykrishna/im2p/index.html

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Paragraph Captioning Image Paragraph Captioning HSGED(SLL) BLEU-4 11.26 Hierarchical Scene Graph Encoder-Decoder for Image... — 10 Compare

Papers archive 2025-07-28

10 shown of 10 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Image Paragraph Captioning

1 variant name, as the archive lists them.

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