Tap test 27 05 Computer Vision Project

vqc

Updated 3 years ago

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Classes (7)
P02
P3
P4
P5
p3
p4
p5
Description

Here are a few use cases for this project:

  1. Dental Diagnostic Aid: This model can be used in dental offices or hospitals as a supportive tool for dentists and radiologists to efficiently identify anomalies in X-ray images. This could improve early detection and treatment of dental diseases.

  2. Educational Tool: The model could be implemented in educational applications or software to teach dentistry students about various dental structures and potential issues, making learning more engaging and interactive.

  3. Dental Insurance Claim Automation: Insurance companies can use this model to automatically check dental X-ray images attached with claims, verifying the specific classes/vqc and easing the claim approval process.

  4. Forensic Identification: Forensic experts can use this model to assist in identifying individuals based on their unique dental X-ray images, providing an extra tool for identifying victims or perpetrators.

  5. Development of Oral Health Care Products: Companies developing oral health care products can use this model to better understand the effect of their products on different dental structures, aiding in the research and development process.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            tap-test-27-05_dataset,
                            title = { Tap test 27 05 Dataset },
                            type = { Open Source Dataset },
                            author = { vqc },
                            howpublished = { \url{ https://universe.roboflow.com/vqc/tap-test-27-05 } },
                            url = { https://universe.roboflow.com/vqc/tap-test-27-05 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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