rectangle Object Detection Dataset and Pre-Trained Model by CS5800

Images

1811 images

Explore Dataset

Here are a few use cases for this project:

Medical Waste Management: This model could be utilized within the waste management industry, more specifically for sorting medical waste. The system could detect the presence of syringes and categorize them accordingly for safe disposal or recycling.
Hospital Automation: The model could be used in hospitals for automated inventory management of medical supplies. It will ensure syringes are quickly identified and counted to maintain optimal stock levels.
Needle Exchange Programs: The model could be implemented in needle and syringe programs (NSPs) to automate the count of used and unused syringes, enabling real-time tracking of exchanged items.
Pharmacy Automation: The model could assist in enhancing the productivity of pharmacies by facilitating an autonomous system to refill syringe stocks based on visual identification.
Medical Training: The model could be used in medical training apps or virtual environments, helping students identify and differentiate syringes and other equipment quickly.

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{
                            rectangle-eub3z_dataset,
                            title = { rectangle Dataset },
                            type = { Open Source Dataset },
                            author = { CS5800 },
                            howpublished = { \url{ https://universe.roboflow.com/cs5800/rectangle-eub3z } },
                            url = { https://universe.roboflow.com/cs5800/rectangle-eub3z },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-04-25 },
                            }