the pain detection Object Detection Dataset and Pre-Trained Model by uae

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Here are a few use cases for this project:

Healthcare Assistance: This model can be utilized in hospitals, nursing homes, or assisted living facilities to monitor patients who might be unable to communicate their pain effectively, such as elderly patients, those post-surgery or patients with communication disorders.
Childcare Monitoring: It could be used in childcare settings, like daycares or at home, to detect pain in babies and young children who can't clearly verbalize their discomfort.
Workplace Safety: The model can be used in industrial settings to identify workers in pain. This could help prevent minor issues from escalating into major health problems, leading to improved worker safety.
Physical Therapy Rehabilitation: It can be used during physical therapy sessions to recognize when a patient is experiencing pain during exercise or movement, helping therapists adjust the program accordingly.
Video Surveillance in Public Spaces: The model could assist emergency response teams by detecting individuals in pain in crowded areas or during mass events, enabling rapid and targeted response.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            the-pain-detection_dataset,
                            title = { the pain detection Dataset },
                            type = { Open Source Dataset },
                            author = { uae },
                            howpublished = { \url{ https://universe.roboflow.com/uae/the-pain-detection } },
                            url = { https://universe.roboflow.com/uae/the-pain-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-26 },
                            }