SurgToolsHemControlObjDetect Object Detection Dataset and Pre-Trained Model by DS Practicum

Images

376 images

Explore Dataset

Here are a few use cases for this project:

Medical Training Applications: The model could be used in immersive training applications for medical students or professionals. By identifying different tools and bandages, the system can provide feedback to learners on whether they are using the right equipment in simulated emergency scenarios.
Inventory Management: In hospital settings, the model could preemptively identify the use of specific hemorrhage control tools during surgery. This real-time tracking can help automate inventory replenishment, ensuring that necessary tools are always in stock.
Robotic Assisted Surgery: The model could be integrated into robotic surgery systems to automatically recognize various surgical tools, aiding in more precise tool selection and enhancing surgical efficiency.
Remote Surgery Assistance: This model could provide valuable support in telemedicine or remote surgery situations. By identifying the tools in use, the model could help remote doctors to more effectively guide surgeries or emergency procedures.
Real-Time Surgery Assistance: SurgToolsHemControlObjDetect could be used to help surgeons in the operating room identify and select the correct tools in real time, potentially reducing time and inefficiencies during critical surgical procedures. This could be particularly useful in high-pressure situations or where there is excessive bleeding.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            surgtoolshemcontrolobjdetect_dataset,
                            title = { SurgToolsHemControlObjDetect Dataset },
                            type = { Open Source Dataset },
                            author = { DS Practicum },
                            howpublished = { \url{ https://universe.roboflow.com/ds-practicum/surgtoolshemcontrolobjdetect } },
                            url = { https://universe.roboflow.com/ds-practicum/surgtoolshemcontrolobjdetect },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-19 },
                            }