MBS annotation for CSC489 Object Detection Dataset and Pre-Trained Model by Selected Project

Images

3520 images

Explore Dataset

Here are a few use cases for this project:

Medical Analysis: Doctors or other health care professionals could use this model to identify and analyze Multiple-Bleeding-spots in medical images such as MRI or CT scans. This could be particularly useful in emergency medical scenarios for quick detection of internal injuries.
Advanced Medical Research: Researchers studying conditions associated with multiple bleeding spots could use this model to analyze large datasets of medical images, aiding in identification of patterns, prediction of outcomes, and development of new treatments.
Safety Training: In safety training simulations or programs, the model could be used to identify any signs of serious injuries, such as multiple bleeding spots, to educate trainees about immediate response and required treatments.
Forensic Analysis: Forensic scientists could use this model to identify multiple bleeding spots in crime scenes or on victims. This could aid the investigation process in determining factors like the nature of the weapon used, the angle of impact, and more.
Quality Control in Manufacturing: In industries where objects are expected to be perfectly formed (like precision instruments), the model could be used to detect defects. In this context, "multiple bleeding spots" could refer to any small holes or other inaccuracies in the product.

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{
                            mbs-annotation-for-csc489_dataset,
                            title = { MBS annotation for CSC489 Dataset },
                            type = { Open Source Dataset },
                            author = { Selected Project },
                            howpublished = { \url{ https://universe.roboflow.com/selected-project/mbs-annotation-for-csc489 } },
                            url = { https://universe.roboflow.com/selected-project/mbs-annotation-for-csc489 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-07-02 },
                            }