IconArt Dataset
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’.
The version 2 of the database contains 10 classes with the same images. The classes are ‘angel’,‘beard’,‘capital’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’,‘ruins’,‘Saint_Sebastien’,‘turban’.
Notes
Files
IconArt_v1.zip
Files
(2.8 GB)
Name | Size | Download all |
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md5:78a831dd7ecf8d0e1d1254a92e2fb796
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1.4 GB | Preview Download |
md5:4ce81e8dae38d09cb4fd1339acd07106
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1.4 GB | Preview Download |
Additional details
References
- Gonthier et al. (2018) Weakly Supervised Object Detection in Artworks arXiv:1810.02569