Object Detection

labeling Computer Vision Project


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Here are a few use cases for this project:

  1. Surgical Instrument Identification and Tracking: The labeling model can be utilized in hospital settings to quickly identify and track various surgical instruments to ensure that all necessary tools are available and properly prepared before surgical procedures.

  2. Medical Training and Education: The model can be employed in educational applications to help teach medical students and professionals about the different surgical instruments, providing them with accurate visual examples and clear descriptions.

  3. Automated Inventory Management: The labeling model can be used to develop an automated system for managing the inventory of surgical instruments in hospitals, clinics, and medical facilities, helping to minimize human errors and ensure accurate stock levels.

  4. Sterilization and Maintenance Monitoring: The model can facilitate monitoring of the sterilization and maintenance processes for surgical instruments, ensuring that each tool receives the proper care and maintains its effectiveness in medical procedures.

  5. Enhanced Augmented Reality (AR) Assistance: The labeling model can be integrated into AR applications that guide surgeons in real-time during complex procedures, ensuring that they are using the proper tools and providing visual cues for better precision and efficiency.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ labeling-qo9oi_dataset,
    title = { labeling Dataset },
    type = { Open Source Dataset },
    author = { Labeling },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-12-10 },

Find utilities and guides to help you start using the labeling project in your project.



Last Updated

a year ago

Project Type

Object Detection




Kolibripinzette, Lidklemme, Mikrozängchen, Nadelhalter, Präparations-Scraper

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CC BY 4.0