Visual Representations of Endometriosis Pain from Participant Workshops

230.2 MB of images created in workshops to visualize endometriosis pain, underpinning a communication toolkit. The project by Jasmine Hearn blends health psychology, linguistics, and art to address diagnosis delays, which often take 8 years. The dataset was last updated on June 2, 2026.

Use Cases

• Train image classification models to identify common visual metaphors for endometriosis pain based on the described visual artefacts.
• Analyze patterns in subjective pain representation for qualitative health research based on the participant-generated images.
• Develop educational or diagnostic support tools that incorporate visual aids based on the described communication toolkit.

Strengths

• Dataset size is 230.2 MB, suggesting a medium-scale collection of images.
• Project methodology is explicitly described, involving workshops that blend health psychology, linguistics, and art.

Limitations

• Row count and specific column-level metadata are unknown, which limits suitability assessment.
• Description metadata is limited; actual image quality, resolution, and annotation require manual inspection after download.

Provenance

Source

Jasmine Hearn via figshare.

Collection Method

Images were created by participants in a series of workshops as part of a project to improve communication about endometriosis pain.

Freshness

Last updated 2026-06-02 13:23:39; freshness should be verified.

Geography

Likely UK-centric, given the description cites UK prevalence statistics, but not explicitly confirmed.