Myri 640 Computer Vision Project

Annotation Myri

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Description

Here are a few use cases for this project:

  1. Sports Event Organization: The "Myri 640" model can be used by marathon and running event organizers to streamline their process of identifying and categorizing participants by their bib numbers. This would lead to more efficient tracking and record keeping.

  2. Athlete Performance Tracking: The model can also be used by sports analysts or coaches to monitor a particular athlete's performance during a race. By continually identifying an athlete's bib, they can study their pacing, form, position relative to other competitors, and other parameters that might influence their overall performance.

  3. Media and Journalism: News outlets and sports journalists can utilize this model to identify athletes while covering running or racing events. This can enhance the accuracy of their coverage and provide more detailed information about the participants.

  4. Personal Training Application: A running application could utilize this model to offer users a "race playback", identifying themselves and others in professional photos or video feeds from races they've participated in.

  5. Security and Surveillance: In events where security is of utmost importance, the model can pick out and identify any unregistered individuals within the race, hence maintaining the integrity and safety of the event.

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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{
                            myri-640_dataset,
                            title = { Myri 640 Dataset },
                            type = { Open Source Dataset },
                            author = { Annotation Myri },
                            howpublished = { \url{ https://universe.roboflow.com/annotation-myri/myri-640 } },
                            url = { https://universe.roboflow.com/annotation-myri/myri-640 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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