Published January 12, 2022
| Version v2
Dataset
Open
PrivacyAlert: a dataset for image privacy prediction
- 1. University of Illinois at Chicago
- 2. The Pennsylvania State University
- 3. University of Massachusetts Amherst
Description
This is a dataset for image privacy prediction. Images are from Flickr and annotated as private/public by crowd-sourcing platforms. Private images are ones that contain sensitive information and cannot be shared with everyone on social networking sites. Public images are ones that are safe to be shared with everyone. Our dataset can be used to train machine learning/deep learning models as binary classifiers to predict whether images contain sensitive information.
Please cite:
@inproceedings{zhao2022privacyalert, title={PrivacyAlert: A Dataset for Image Privacy Prediction}, author={Zhao, Chenye and Mangat, Jasmine and Koujalgi, Sujay and Squicciarini, Anna and Caragea, Cornelia}, booktitle={Proceedings of the International AAAI Conference on Web and Social Media}, volume={16}, pages={1352--1361}, year={2022} }
Files
privacy_detection_dataset_v2.zip
Files
(3.5 MB)
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