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--- |
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license: apache-2.0 |
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task_categories: |
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- object-detection |
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tags: |
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- art |
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size_categories: |
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- 1K<n<10K |
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--- |
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🖼️ 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](https://arxiv.org/abs/1810.02569). |
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This datasest is designed to evaluate Weakly Supervised object detection methods in paintings. |
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You can also find [project page for the paper here.](https://wsoda.telecom-paristech.fr/downloads/dataset/) |
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This dataset contains 5955 images (from [WikiCommons](https://commons.wikimedia.org/wiki/Accueil)) : a train set of 2978 images and a test set of 2977 images (for classification task). 1480 of the 2977 test images are annotated with bounding boxes for 10 visual categories. |
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The classes are ‘angel’,‘beard’,‘capital’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’,‘ruins’,‘Saint_Sebastien’,‘turban’. |
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Most of the methods only run evaluation on the easiest 7 classes : ‘angel’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’, ‘ruins’,‘Saint_Sebastien’. |
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In this folder you can find 3 other folders, the JPEGImages one contains the JPEG images. |
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The Annotations contain the bounding boxes in a PASCAL VOC template (XML file). |
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The ImageSets/Main folder contain 3 files : |
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- train.txt : contain the name of the images of the train set |
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- test.txt : contain the name of the images annotated with an instance level |
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- IconArt_v2.csv the class information per image (0 or 1 per class) but also if the image below to the train set or test one and then if the image is associated to bounding boxes annotations (Anno column). |
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## Exemples of prediction on test images |
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Predictions on the test images for a [model](https://arxiv.org/abs/2008.01178) trained in a weakly supervised way on the train set. |
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## Reference |
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If you use IconArt please cite the related paper: |
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``` |
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@InProceedings{Gonthier_2018_ECCV_Workshops, |
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author = {Gonthier, Nicolas and Gousseau, Yann and Ladjal, Said and Bonfait, Olivier}, |
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title = {Weakly Supervised Object Detection in Artworks}, |
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booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops}, |
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month = {September}, |
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year = {2018} |
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} |
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``` |
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