ML/DL Final Project Computer Vision Project

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Description

Here are a few use cases for this project:

  1. Medical Diagnosis: The "ML/DL Final Project" can be used in the medical industry for diagnosing internal diseases or injuries. The computer vision model can identify and analyse micro-robots in the body, assisting in minimally invasive surgeries or therapeutic interventions.

  2. Micro-Robotic Research: This model can also be used for research purposes in the development and testing of micro-robots. It could support scientists in understanding the various designs and configurations of micro-robots and markers.

  3. Education: This computer vision model can serve a crucial role in educating medical students and bioengineers about micro-robots and markers, their placement, and their role in the human body, through visual recognition of these objects in x-ray images.

  4. Quality Assurance in Manufacturing: The program can be utilized to ensure that micro-robots are being manufactured according to design and quality standards before they are used in medical applications.

  5. Therapeutic Strategies Development: In therapy planning, this model can be used to study the movements and pathways of micro-robots under various conditions, helping to design more effective therapeutic strategies.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            ml-dl-final-project_dataset,
                            title = { ML/DL Final Project Dataset },
                            type = { Open Source Dataset },
                            author = { class },
                            howpublished = { \url{ https://universe.roboflow.com/class-xurem/ml-dl-final-project } },
                            url = { https://universe.roboflow.com/class-xurem/ml-dl-final-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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