Projet gp Object Detection Dataset and Pre-Trained Model by detection

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Explore Dataset

Here are a few use cases for this project:

Healthcare Applications: The model can be used in eye examinations to effectively detect abnormalities in the iris or pupils. It could assist in identifying diseases such as anisocoria, polycoria, or other significant eye conditions.
Biometric Authentication: The model could serve in identity verification systems, where a person's unique iris pattern is used as a biometric identifier. It could greatly improve the security in various sectors notably in smartphones, laptop or secure area access.
Eye-Focused User Experience: In virtual reality or gaming applications, the model can help enhance the user experience by tracking the iris and pupil to understand where the user is looking, providing a more immersive and personalized experience.
Vision Research: Researchers studying human vision or developing artificial versions of it can use the data output by this model to complement their work, enabling more precise understanding of iris and pupil behavior in various light conditions or emotional states.
Assistive Technologies: The model could be utilized in applications that aid people with disabilities. For instance, it can enable a hands-free interface by tracking the iris and pupil for device control, benefiting individuals with physical impairments.

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{
                            projet-gp_dataset,
                            title = { Projet gp Dataset },
                            type = { Open Source Dataset },
                            author = { detection },
                            howpublished = { \url{ https://universe.roboflow.com/detection-b79t7/projet-gp } },
                            url = { https://universe.roboflow.com/detection-b79t7/projet-gp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-30 },
                            }