USED
"Event discovery from single pictures is a challenging problem that has raised significant interest in the last decade. We believe that deep learning can prove to be a breakthrough also in this research area, providing a successful framework to learn the inherent event-related characteristics of a media depicting the relevant moments of an event, notwithstanding the variety of visual appearances. In this context, it is well known that the main limitation in the application of CNNs is the unavailability of large datasets.
To this aim, in this paper we provide a large scale properly annotated and balanced dataset of 525,000 images, covering every aspect of 14 different types of social events, selected among the most shared ones in social network. Such a large-scale collection of event-related images is intended to become a powerful support tool for the research community in multi- media analysis by providing a common benchmark for training, testing, validation and comparison of existing and novel algorithms.
In this paper, we provide a detailed description of how the dataset is collected, organized and how it can be beneficial for the researchers in the multimedia analysis domain. By providing this dataset, we hope to gather research community in the multimedia and signal processing domains to advance this application."
{% include 'map.html' %}
USED Social Event Dataset Copyright Distribution
USED Social Event Dataset Creative Commons License Distribution
USED Social Event Dataset Image Upload Year Distribution
Top 10 USED Social Event Dataset Image #Tags
Top 10 Geocoded Cities USED Social Event Dataset
Citing This Work
If you reference or use any data from the Exposing.ai project, cite our original research as follows:
@online{Exposing.ai,
author = {Harvey, Adam},
title = {Exposing.ai},
year = 2021,
url = {https://exposing.ai},
urldate = {2021-01-01}
}
If you reference or use any data from USED Social Event Dataset cite the author's work:
@inproceedings{Ahmad2016USEDAL,
author = "Ahmad, K. and Conci, N. and Boato, G. and Natale, F.",
title = "USED: a large-scale social event detection dataset",
booktitle = "MMSys '16",
year = "2016"
}