Contents Science Lab

Nagoya University Graduate School of Informatics
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Open Source: NU ICC: Image Collection Captioning Dataset

Abstract

    We built the dataset upon the MS-COCO dataset by estimating the semantic contents of images and captions and using this to augment the dataset toward image collection captioning. To construct a dataset for the proposed task, we implement and compare two approaches based on image classification and image-caption retrieval.

  • coco_resnet101_splited.json: is a dataset that is split by classifying the semantic contents of each image.
  • coco_vsepp_splited.json: is a dataset that is split by estimating the semantic contents and captions with VSE++

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Change Log

  • Nov. 8, 2022: Web page opened

Citation

  • Cite the following paper when you publish the paper of your research using this dataset.
    • Phueaksri Itthisak, Marc A. Kastner, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro IDE: “Towards Captioning an Image Collection from a Combined Scene Graph Representation Approach”, In Proc: 29th International Conference on Multimedia Modeling, 2023.


Last updated: 2023-10-16 02:47:35.474171622 +0000 UTC m=+0.155025529.