Entrainement Final Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Medical Equipment Inventory: "Entrainement Final" can be used to manage inventories of medical equipment in hospital settings. It can identify whether an item is a GepBox, Pincette, or Porte-Aiguille, assisting in regular stock checking and ensuring necessary equipment is always available.
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Medical Training: This model can aid in educational and training scenarios for medical professionals, teaching them to identify, handle, and use these tools effectively, improving patient safety and care.
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Robotic Surgery: The model can be implemented in robotic surgery to automatically identify surgical tools like GepBox, Pincette, Porte-Aiguille. It may help facilitate precise tool selection without human error.
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Quality Control: "Entrainement Final" can be used in quality control in the manufactural industry of medical tools. It can identify and classify the different tools to ensure that each item is made according to the required specifications and standards.
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Augmented Reality Applications: The model can be used in AR applications to provide real-time identification and information about these medical tools to users, potentially helpful in scenarios ranging from professional healthcare to advanced first aid education for the public.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
entrainement-final_dataset,
title = { Entrainement Final Dataset },
type = { Open Source Dataset },
author = { Cassiope },
howpublished = { \url{ https://universe.roboflow.com/cassiope/entrainement-final } },
url = { https://universe.roboflow.com/cassiope/entrainement-final },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-22 },
}