csv to txt Object Detection Dataset and Pre-Trained Model by conver4

Images

199 images

Explore Dataset

Here are a few use cases for this project:

Dental Health Monitoring: The "csv to txt" model can be used in mobile apps and software systems for dentists and patients to monitor dental health regularly by detecting tooth classes like Tooth and Decoloration tooth in close-up images uploaded by users.
Dental Education and Training: The model can serve as a learning tool for dental students to practice classifying tooth types and identifying signs of decoloration in various scenarios with less dependency on physical models or real patients, optimizing their learning experience.
Tele-dentistry Consultations: Remote dental care providers can use the "csv to txt" model to assist in diagnosing dental issues and providing treatment recommendations for patients through online consultations, reducing the need for in-person appointments.
Dental Insurance Claims Analysis: Insurance companies can leverage the "csv to txt" model to help verify dental claims by analyzing and classifying teeth conditions in images submitted with the claims, improving accuracy in claim evaluations and reimbursements.
Oral Health Campaigns and Awareness: Public health organizations can use the model to analyze dental images from outreach programs or social media campaigns, assessing the prevalence of tooth decoloration issues, and creating targeted awareness plans for improving dental care within communities.

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{
                            csv-to-txt-mutvh_dataset,
                            title = { csv to txt Dataset },
                            type = { Open Source Dataset },
                            author = { conver4 },
                            howpublished = { \url{ https://universe.roboflow.com/conver4/csv-to-txt-mutvh } },
                            url = { https://universe.roboflow.com/conver4/csv-to-txt-mutvh },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-07-27 },
                            }