dentaldetect1 Object Detection Dataset and Pre-Trained Model by University

Images

501 images

Explore Dataset

Here are a few use cases for this project:

Dental Examination Automation: Clinics may deploy this model to automate the initial dental examination process. Once X-rays of the patient's teeth are taken, this model can aid dentists in detecting restoration-caries classes, potentially increasing the efficiency and effectiveness of treatments.
Dental Education: Educational institutions teaching dentistry could use this model to provide hands-on learning for students. By testing dentaldetect1 on various X-ray samples, students can enhance their skill sets and understand different caries conditions.
Dental Software Solutions: Companies developing software for dental clinics could integrate this model into their systems to add additional functionality. This could potentially help in diagnosing patients more accurately, reducing human error.
Dental Research: Researchers studying oral health diseases could use this model to analyze a large number of dental X-ray images rapidly. It would augment their data processing capacity and efficiency.
Dental Insurance Automation: Insurance companies dealing in dental coverage may use this model to automate the process of claims verification. By identifying the restoration-caries classes, they could validate claims more accurately, reducing cases of fraud.

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{
                            dentaldetect1_dataset,
                            title = { dentaldetect1 Dataset },
                            type = { Open Source Dataset },
                            author = { University },
                            howpublished = { \url{ https://universe.roboflow.com/university-ciekc/dentaldetect1 } },
                            url = { https://universe.roboflow.com/university-ciekc/dentaldetect1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-10 },
                            }