PD_object_detection Object Detection Dataset and Pre-Trained Model by Capstone

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Explore Dataset

Here are a few use cases for this project:

Parkinson's Disease Early Detection: This model can be used in telemedicine and eHealth applications to analyze drawings or handwriting samples drawn by patients. Early diagnosis of Parkinson's Disease can help in beginning the treatment early and slow down the progression of the disease.
Medical Research: Researchers studying Parkinson’s Disease can use this model to analyze large sets of drawings or handwritings, identifying trends and correlations between identified Parkinson’s Disease positive cases and the characteristics of their drawing.
Home Monitoring System: This model can be incorporated into a home monitoring system where elderly individuals or at-risk populations can regularly submit handwriting or drawing samples. These can be analyzed for Parkinson's symptoms, enabling early intervention and care.
Rehabilitation: For those patients already diagnosed with Parkinson's Disease, this model can help monitor the progression of their disease based on regular analysis of their handwriting or drawings. This would facilitate tailoring their treatment and rehabilitation program based on their current status.
Pharmaceutical Industry: Drug companies can use this model in clinical trials to monitor the impact of new Parkinson's Disease drugs on patients. This can provide valuable data on the effectiveness of the drugs, based on whether they help improve the drawing and handwriting symptoms associated with Parkinson's.

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{
                            pd_object_detection_dataset,
                            title = { PD_object_detection Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-ywfrz/pd_object_detection } },
                            url = { https://universe.roboflow.com/capstone-ywfrz/pd_object_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-26 },
                            }