Pickleball Vision Object Detection Dataset and Pre-Trained Model by Liberin Technologies

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Explore Dataset

Here are a few use cases for this project:

Sports Equipment Inventory Assurance: In sports retail, where pickleball equipment is sold, the model can be extensively used to count and manage inventory effectively. This computer vision model can automate the process of identifying pickleball courts and balls which can lead to time efficiency.
Sports Analytics and Broadcasting Technology: The "Pickleball Vision" model can be utilized for real-time analysis in tournaments. The model can accurately track ball movements, allowing analysts and commentators to provide in-depth game insights for viewers, providing high-resolution replays and near-instant analysis of gameplay.
Automated Refereeing: In professional or competitive pickleball matches, the model could be applied for automated decision-making assistance such as in/out calls, helping minimize human error in the officiating process.
Player Training and Performance Improvement: Players and coaches can use the tool to analyze game strategies, ball trajectories, and court positions. This can help them make adjustments and improve player skill sets.
Designing Virtual Reality/Augmented Reality Games: Independent game developers or gaming companies can use this model to create more realistic pickleball AR/VR games. The model can be used to enhance the gameplay experience by identifying real-life ball and court elements for the game.

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{
                            pickleball-vision_dataset,
                            title = { Pickleball Vision Dataset },
                            type = { Open Source Dataset },
                            author = { Liberin Technologies },
                            howpublished = { \url{ https://universe.roboflow.com/liberin-technologies/pickleball-vision } },
                            url = { https://universe.roboflow.com/liberin-technologies/pickleball-vision },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-05-03 },
                            }