Data · dataset · 2025
Events dataset for image sanitization
Listed in REDU - Unicamp Institutional Research Data Repository
Overview Datasets introduced in "Semi-Supervised Feature Embedding for Data Sanitization in Real-World Events" It includes the links for the images that consist of the five datasets.
Description
NotreDame: Remarkable partial destruction of the Parisian Cathedral by a fire in 2019. Grenfell: 2017 tragic fire incident in the Grenfell Tower in London.
NationalMuseum: Total destruction of the National Museum in Brazil by flames in 2018. BangladeshFire: Fast-moving fire in a district in Dhaka, that took place in 2019. BostonMarathon: 2013 terrorist attack on the traditional Bostonian event.
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Observations: We did not publish the links for the positive images for the Grenfell dataset due to copyright reasons. BostonMarathon and Grenfell negative sets are pictures from the Flickr100k dataset. Since BostonMarathon positive samples contain frames from YouTube videos, we published the YouTube video URL and the frame number that was extracted.
BostonMarathon positive sample contains augmentations, which are crops sized half of the original image. In this sense, columns i and j indicate the upper-left pixel of the crop. For example, if the image is a × b, the crop will be the square between the points: (j, i), (j + a/2, i), (j, i + b/2), and (j + a/2, i + b/2).
Media Content Due to the terms of use from the social networks, we do not make publicly available the texts, images, and videos that were collected (only the links). However, we can provide some additional media content related to one (or more) events upon request by contacting the authors.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FLJ4LYG ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/lj4lyg ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Computer and Information Science
- From keywords
- Digital forensics
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/LJ4LYG | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460404 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Digital forensics'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · redu unicamp br | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · redu unicamp br | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |