Safe Sight Object Detection Dataset and Pre-Trained Model by Immersionx

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Explore Dataset

Here are a few use cases for this project:

Surgical Tool Management: "Safe Sight" could be used in operating rooms to keep track of surgical instruments. The model identifies each tool type automatically, reducing the chances of miscounting or misplacing crucial instruments, thereby aiding teams in avoiding surgical tool left within a patient post-operation.
Medical Training: Trainee surgeons and nurses could use the "Safe Sight" model as a learning resource. By working with this model, they can practice identifying different surgical instruments and increase their speed and accuracy over time, thus improving their precision and efficiency during real procedures.
AI Assisted Robotics: The "Safe Sight" model can be integrated into robotic surgical systems. The model can recognize and pick up specific surgical instruments, providing assistance to the surgeon during complex procedures.
Sterilization and Maintenance: Hospital or laboratory sterilization departments can use the model to ensure that each type of instrument is properly cleaned and maintained. By identifying the tool type, they can apply the appropriate sterilization procedures, prolonging the instruments' lifespan and maintaining safety standards.
Inventory Management: Hospital supply management could utilize "Safe Sight" to automate inventory checks of surgical tools. By identifying the instrument types, the model can help maintain an accurate, real-time inventory, alerting the staff when a particular instrument type is running low or is missing.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            safe-sight_dataset,
                            title = { Safe Sight Dataset },
                            type = { Open Source Dataset },
                            author = { Immersionx },
                            howpublished = { \url{ https://universe.roboflow.com/immersionx/safe-sight } },
                            url = { https://universe.roboflow.com/immersionx/safe-sight },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-29 },
                            }