Mobiusi/Surgeons-Robotic-Interaction-Scene-Classification-Dataset

Surgeons-Robotic Interaction Scene Classification Dataset

The current medical industry faces challenges of insufficient precision and lack of smooth human-robot collaboration in the application of surgical robots. Existing solutions often lack high-quality training data, which limits the intelligent decision-making and operational capabilities of robots. This dataset aims to solve the recognition and judgment problems of robots in complex surgical environments by providing rich images of interaction scenes between surgeons and robots. Data collection uses high-resolution cameras in real surgical environments to ensure scene authenticity. Multiple rounds of annotation and expert review ensure data quality and consistency. The data storage format is JPEG, organized by time and scene to facilitate subsequent analysis and model training. The dataset contains a total of 5000 images, with a file size of approximately 1.5G. The core advantage of this dataset lies in its high annotation accuracy and consistency, with annotation accuracy exceeding 95%. Additionally, the use of new data augmentation technologies enhances the model's adaptability in different scenes, expected to increase the recognition rate of surgical robots by 20% during operations. Applying this dataset can effectively improve the intelligence level of medical robots in surgical operations to meet actual clinical needs.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
scene_category	string	The specific scene category of interaction between the surgeon and robot in the image, such as pre-surgery preparation and intraoperative collaboration.
surgeon_count	integer	The number of surgeons appearing in the image.
robotic_system_type	string	The type of robotic system used in the image, such as the Da Vinci surgical robot.
interaction_level	string	The level of interaction between the surgeon and robot in the image, such as high, medium, or low.
safety_measures_visible	boolean	Whether clear safety measures, such as protective clothing and masks, are visible in the image.
environment_type	string	The type of environment depicted in the image, such as an operating room, conference room, or laboratory.
operative_stage	string	The stage of an operation depicted in the image. This could be preoperative, intraoperative, or postoperative.

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

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