action classification Classification Dataset and Pre-Trained Model by volleyballanalysis

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: The "action classification" model can be beneficial in analyzing players' performances in volleyball or related sports. It could assess the techniques used by players, thus helping coaches to make strategic decisions.
Broadcasting & Media Coverage: This model could be utilized by sports broadcasting or media companies to provide more in-depth, real-time analysis of volleyball games. Automated identifications of actions could enhance viewer experiences by enriching commentary and enabling advanced visual effects.
Sports Training Apps: Mobile or desktop training apps for aspiring volleyball players can incorporate this computer vision model to provide users with real-time feedback on their action class, helping them improve their skills effectively.
Injury Prevention and Rehabilitation: Physiotherapists and fitness trainers can employ this model to monitor athletes' actions during practice or actual games. It could provide insights into anomalies or wrong techniques that may lead to injury, facilitating proactive preventive measures.
Automated Refereeing: In sports competitions, especially in amateur leagues where expert referees may not always be available, the model can be deployed to act as an automated referee system that ensures all rules are adhered to by identifying all action categories during the game.

chatgpt wrote.

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{
                            action-classification-rgm9d_dataset,
                            title = { action classification Dataset },
                            type = { Open Source Dataset },
                            author = { volleyballanalysis },
                            howpublished = { \url{ https://universe.roboflow.com/volleyballanalysis/action-classification-rgm9d } },
                            url = { https://universe.roboflow.com/volleyballanalysis/action-classification-rgm9d },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-28 },
                            }