shangzx/Dental-Treatment-Process-Action-Recognition-Dataset

Dental Treatment Process Action Recognition Dataset

In modern dental medicine, optimizing action recognition during the treatment process is crucial for improving treatment efficiency and accuracy. Currently, traditional methods mainly rely on manual observation, which can be easily influenced by subjective factors, leading to misjudgments and inefficiency. Additionally, there is a lack of automated recognition systems or standard datasets specifically for dental actions in the market. This dataset aims to provide a large number of annotated videos of actions during actual dental treatments to support the development of automated action recognition systems. The data is collected using high-definition cameras in real dental treatment environments to ensure realistic scene simulation, and annotated and reviewed in multiple rounds by a team of professional dentists and video analysis experts to ensure consistency and precision. After annotation, the data is processed and stored in MP4 format, organized by dental treatment steps. The recorded actions, such as brushing, cleaning, and treatment, are sorted and categorized to facilitate training and testing.

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution
action_label	string	The specific action category during the dental treatment process.
dentist_id	string	The unique identifier for the dentist involved in the dental treatment process.
patient_id	string	The unique identifier for the patient undergoing dental treatment.
procedure_step	string	The specific step in the dental treatment procedure.
instrument_used	string	The name of the instrument used during the dental treatment process.
hand_gesture	string	The hand gesture performed during the dental treatment process.
body_position	string	The body position during the dental treatment process.
action_duration	float	The duration of the specific action in seconds.
confidence_level	float	The confidence level of the action recognition.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com