Dental Treatment Process Action Recognition Dataset
#action recognition #video analysis #behavior detection #dental treatment #medical training #action recognition
- Records
- 500 records
- Size
- 1.6G
- Format
- MP4
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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
FAQ
Frequently Asked Questions
- What types of videos are included in this dataset?
- The Dental Procedure Action Recognition Dataset includes various procedural operation videos in dental treatment.
- How can this dataset be used to improve action recognition accuracy?
- This dataset can be used for training and testing to develop and validate dental procedure action recognition models, thus improving accuracy.
- What medical applications is this dataset suitable for?
- The dataset is suitable for developing action recognition systems in dental procedures, such as automated treatment recording and surgical monitoring.
- How can effective application of this dataset in the healthcare field be ensured?
- Ensuring effective application of this dataset requires integrating with real dental procedures and collaborating with professionals for model validation and optimization.
- Why is the Dental Procedure Action Recognition Dataset important?
- This dataset is crucial for enhancing the automation and precision of dental procedures, thereby improving the quality of healthcare services.
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Cite this Work
@dataset{Mobiusi2026,
title={Dental Treatment Process Action Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/18a5077488cb98f3fcbcea7f2491a388?cate=4},
urldate={2026-02-04},
keywords={dental action recognition, medical video analysis, dental video dataset},
version={1.0}
}Using this in research? Please cite us.
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