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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… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Dental-Treatment-Process-Action-Recognition-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face
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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

FieldTypeDescription
file_namestringFile name
durationstringDuration
qualitystringResolution
action_labelstringThe specific action category during the dental treatment process.
dentist_idstringThe unique identifier for the dentist involved in the dental treatment process.
patient_idstringThe unique identifier for the patient undergoing dental treatment.
procedure_stepstringThe specific step in the dental treatment procedure.
instrument_usedstringThe name of the instrument used during the dental treatment process.
hand_gesturestringThe hand gesture performed during the dental treatment process.
body_positionstringThe body position during the dental treatment process.
action_durationfloatThe duration of the specific action in seconds.
confidence_levelfloatThe confidence level of the action recognition.

Compliance Statement

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

Source & Contact

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