Disturbing Image Detection Using LMM-Elicited Emotion Embeddings

Disturbing Image Detection (DID) refers to the task of detecting content in images that can cause trauma to the viewers. It may include images that depict violence, pornography, animal cruelty, disasters. Such content elicits anxiety or/and fear to viewers, while it is noted that viewers who are systematically exposed to such content are at risk of experiencing severe psychological distress.

Data and Resources

Cite this as

Maria Tzelepi, Vasileios Mezaris (2024). Dataset: Disturbing Image Detection Using LMM-Elicited Emotion Embeddings. https://doi.org/10.57702/mqrofkxl

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2406.12668
Author Maria Tzelepi
More Authors
Vasileios Mezaris