In 2001, only ** percent of all licensed dentists working in the United States were female. By 2024, this share has risen to over ** percent. The share of female dentists has steadily grown across the analyzed period.

In 2018/19 there were more female NHS dentists in England than male for the first time in the provided time period, and this trend has continued since then coming to over ** thousand female dentists and over ** thousand male dentists in 2023/24. The overall increase in the number of dentists in NHS has been driven solely by increase in female dentists. On the other hand the number of male dentists has been declining slightly over the time period shown.

Data Description:

This dataset includes dental OPG X-rays collected from three different dental clinics. This dataset can be used for tasks like object detection, image analysis, disease classification, and segmentation. It has two folders: the object detection dataset folder and the classification dataset folder. The object detection folder contains 232 original and 604 augmented images and labels. The classification folder contains six distinct files for each class. The images are in JPG format, and the labels are in JSON format. The augmented data is split into training, validation, and testing sets in an 80:10:10 ratio.

Dataset collection:

• Source: Prescription Point Ltd, Lab Aid Specialized Hospital, Ibn Sina Diagnostic and Imaging Center. • Capture Method: Using android phone camera. • Anonymization: All data were rigorously anonymized to maintain confidentiality and privacy. • Informed Consent: All patients provided their consent in accordance with the dental ethical principles.

Dataset composition:

• Total Participants: 232 Male and female patients aged 10 years or older.

Variables:

• Healthy Teeth: 223 • Caries: 119 • Impacted Teeth: 87 • Broken Down Crown/ Root: 52 • Infection: 23 • Fractured Teeth: 13

Authors:

Rubaba Binte Rahman