Mental Health Drawing Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Mental Health Monitoring: The "Mental Health Drawing" model can be used by therapists and psychologists to assess mental health conditions of their patients over several sessions. By tracking changes in patients' artistic content and style, they might identify improvements or deteriorations in their mental status.
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Art Therapy Sessions: This model could be used to facilitate art therapy sessions, where patients are encouraged to express their feelings and emotions through artistic drawings and paintings. The model’s classification of the art as 'Healthy' or 'Unhealthy' could provide real-time feedback, assisting therapists in understanding the participants' mental state.
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Social Media Monitoring: Social media platforms can leverage the "Mental Health Drawing" model to monitor users' posts that contain drawings or art. In cases where a user's art exhibits signs of 'Unhealthy' mental status, interventions could be initiated, offering resources for mental health support.
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Education & Research: The model could be used in research settings to study correlations between mental health and art. It could help researchers to evaluate the effectiveness of different therapeutic approaches to improving mental health.
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Mobile App for Personal Mental Health: A self-help mobile app can employ this model to allow users to draw and paint as a form of expressive therapy. The app could then analyze the user's art, offering insights into their mental health or even providing beneficial recommendations based on the assessments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mental-health-drawing_dataset,
title = { Mental Health Drawing Dataset },
type = { Open Source Dataset },
author = { ArtMind },
howpublished = { \url{ https://universe.roboflow.com/artmind/mental-health-drawing } },
url = { https://universe.roboflow.com/artmind/mental-health-drawing },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2025-01-03 },
}