Operating Room Instrument Recognition Dataset

#image classification #object detection #instance segmentation #medical image analysis #instrument automatic recognition #intelligent operating room management
  • 500 records
  • 1.6G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-09

AI Analysis & Value Prop

This dataset features outstanding data quality, with an annotation accuracy of over 95%, ensuring high consistency and completeness. In terms of technological innovation, the latest deep learning enhancement technologies and AI-assisted annotation methods are introduced, improving model training effectiveness and data annotation efficiency. The application value is evident, significantly reducing errors in surgical instrument recognition and improving the convenience of management operations. Compared with existing similar datasets, it offers a richer variety of instruments and higher recognition accuracy. This dataset possesses unique multi-view perspectives and instrument scarcity, and it has significant advantages in scalability and general applicability in system upgrades and other medical applications.

Dataset Insights

Sample Examples

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Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/f4ee0e4923514b740438db6b046a8569?dataset_scene_cate_type=3},
  urldate={},
  keywords={},
  version={}
}

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