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Dental Radiography AI Dataset
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About
This dataset is designed for the analysis and diagnosis of dental radiography. It serves to help dentists identify changes in hard and soft tissues, evaluate facial and mouth injuries, and monitor teeth and jawbone development in children. The dataset is provided as a zip file containing three folders: Train, Test, and Valid, making it suitable for developing image classification models using techniques such as Convolutional Neural Networks (CNN), YOLO, or SSD.
Columns
The dataset includes metadata for each image, detailing detected prosthetics and issues. Based on the provided sample, the relevant columns are:
- filename: The name of the image file, typically in JPEG format (e.g.,
0136_jpg.rf.03e2aec8ec77594665dd1abc68d47bd3.jpg). - width: The width of the image in pixels (e.g., 512).
- height: The height of the image in pixels (e.g., 256).
- class: The category of the dental finding or prosthetic identified, such as 'Implant' or 'Fillings'.
- xmin: The minimum X-coordinate of the bounding box around the identified object.
- ymin: The minimum Y-coordinate of the bounding box around the identified object.
- xmax: The maximum X-coordinate of the bounding box around the identified object.
- ymax: The maximum Y-coordinate of the bounding box around the identified object.
Distribution
The dataset is distributed as a zip file which contains separate folders for 'Train', 'Test', and 'Valid' subsets, intended for machine learning model development. The images within these folders are in JPEG format, with varying file sizes (e.g., 14.53 kB, 18.39 kB). The 'test' folder, for example, contains 74 image files. Specific numbers for rows or records for the entire dataset (across all train, test, and valid folders) are not available in the provided information.
Usage
This dataset offers various ideal applications:
- Dental Practice Automation: Dental clinics and hospitals can use this model to accurately analyse X-rays, aiding dentists in quickly identifying dental issues and recommending appropriate treatments.
- Dental Insurance Claims Processing: Insurance companies can leverage the model to verify dental issues in claims from dentists or patients, enhancing accuracy and reducing fraudulent activities.
- Dental Education and Training: Teaching institutions and dental schools can utilise the model to train future dentists by offering instant feedback and diagnoses during practice sessions with X-ray images.
- Remote Dental Consultations: The model can support telemedicine or remote dental services by providing preliminary diagnoses and recommendations, especially beneficial in areas with limited access to dental care professionals.
- Dental Research: Researchers focusing on dental health, disease progression, or treatment effectiveness can use the model for large-scale analysis of radiography datasets, enabling faster discovery of trends and patterns.
Coverage
Information regarding the geographic, time range, or demographic scope of the data is not available in the provided sources.
License
CC BY-SA 4.0
Who Can Use It
This dataset is intended for a range of users and applications:
- Dental clinics and hospitals for automating X-ray analysis and improving diagnosis.
- Insurance companies for verifying dental claims and preventing fraud.
- Teaching institutions and dental schools for educational purposes, providing practical training with X-ray images.
- Providers of telemedicine or remote dental consultation services for preliminary diagnoses in accessible formats.
- Researchers in dental health and related fields for large-scale data analysis and trend identification.
Dataset Name Suggestions
- Dental Radiography AI Dataset
- Prosthetic and Filling X-ray Images
- Automated Dental Diagnosis Data
- Oral Health Imaging Dataset
- Dental Anomaly Detection X-rays
Attributes
Original Data Source: Dental Radiography AI Dataset
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