Dental Detection Object Detection Dataset and Pre-Trained Model by Final Project

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Explore Dataset

Here are a few use cases for this project:

Dental Practice Automation: This model can be used by dental clinics and hospitals to quickly and accurately analyze dental X-rays, helping dentists efficiently identify dental issues and recommend appropriate treatment plans for patients.
Dental Insurance Claims Processing: Insurance companies can use the model to verify dental issues mentioned in the claims submitted by dentists or patients, ensuring accuracy and reducing fraudulent claims.
Dental Education and Training: Teaching institutions and dental schools can use the model to help train future dentists by providing them with instant feedback and diagnosis during their practice sessions with X-ray images, enhancing their learning experience.
Remote Dental Consultations: The model can be used in telemedicine or remote dental consultation services for providing preliminary diagnosis and recommendations, particularly in regions where access to dental care professionals is limited.
Dental Research: Researchers studying dental health, dental disease progression, or the effectiveness of various dental treatments can use this model to assist in large-scale analysis of dental radiography datasets, enabling them to uncover trends and patterns more quickly and 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{
                            dental-detection-tbxzp_dataset,
                            title = { Dental Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Final Project },
                            howpublished = { \url{ https://universe.roboflow.com/final-project-4xiod/dental-detection-tbxzp } },
                            url = { https://universe.roboflow.com/final-project-4xiod/dental-detection-tbxzp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-01 },
                            }