Digital Art History

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Published October 5, 2018 | Version 1
Dataset Open

IconArt Dataset

Authors/Creators

  • 1. Télécom Paris

Contributors

  • 1. Télécom Paris

Description

The dataset IconArt dataset was introduced in the following paper : "Weakly Supervised Object Detection in Artworks" Gonthier et al. ECCV 2018 Workshop Computer Vision for Art Analysis - VISART 2018.

You can also find project page for the paper here.

This dataset contains 5955 images (from WikiCommons) : a train set of 2978 images and a test set of 2977 images (for classification task). 1480 of the 2977 images are annotated with bounding boxes for 7 classes : ‘angel’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’, ‘ruins’,‘Saint_Sebastien’.

Notes

This research was supported in part by the "IDI 2017" project funded by the IDEX Paris-Saclay, ANR-11-IDEX-0003-02.

Files

IconArt_v1.zip

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Additional details

References

  • Gonthier et al. (2018) Weakly Supervised Object Detection in Artworks arXiv:1810.02569