TasarimSurecleri Object Detection Dataset and Pre-Trained Model by Cihan Bar Turgut

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Explore Dataset

Here are a few use cases for this project:

Clinical Decision Support: The "TasarimSurecleri" model could be used in hospitals, clinics, and other medical facilities to aid clinicians in diagnosing various ocular diseases by quickly analyzing patient's eye images. It could save time and help in early detection of diseases like Glaucoma, Cataract, and others.
Telemedicine Applications: This model could be integrated into telemedicine apps or platforms, allowing patients to upload images of their eyes for immediate analysis and preliminary diagnosis. It would be vital for remote or rural areas where access to eye specialists is limited.
Research & Education: The model could serve as a resource in medical schools for training future ophthalmologists or for researchers studying ocular diseases, helping them to identify and understand different disease classes more effectively and quickly.
Health Mobile Applications: The model could be implemented in health monitoring mobile applications as a feature for regular ocular health checkups. By regularly uploading their eye images, users could get updates and warnings about potential onset of any ocular diseases.
Pharmaceutical Companies: Drug developers could use this model to monitor the progression or reduction of an ocular disease before and after the trial of a new treatment or medication, helping them assess the efficacy of their drugs more accurately.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ tasarimsurecleri_dataset,
    title = { TasarimSurecleri Dataset },
    type = { Open Source Dataset },
    author = { Cihan Bar Turgut },
    howpublished = { \url{ https://universe.roboflow.com/cihan-bar-turgut/tasarimsurecleri } },
    url = { https://universe.roboflow.com/cihan-bar-turgut/tasarimsurecleri },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-05 },
}