Pool Balls Detection Object Detection Dataset and Pre-Trained Model by Mark

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Explore Dataset

Here are a few use cases for this project:

Pool Game Assistant: This computer vision model can be used for building an augmented reality app that assists pool players in taking shots. By detecting the balls and their numbers, the app could suggest optimal shot angles and strategies for the game.
Sport Broadcast Enhancement: The Pool Balls Detection model can be incorporated into broadcasting technologies for professional sports. Through identifying each ball, it can provide real-time graphics showcasing the ball statistics such as remaining balls, a particular ball's position, or predictive line of shot.
Advanced Training Tool: This model can be used as part of a virtual coaching app for players seeking to improve their pool game. It can analyze the arrangement of balls and provide feedback on gameplay, or demonstrate how professional players would handle the same scenario.
Billiard Club Management: The model can be used in a billiard club software to monitor table status. It can detect the game stage based on the balls' positions and identities, helping staff know when a game has ended and the table is ready for the next players.
Efficient Ball Sorter: For manufactures or pool parlors that need to regularly organize sets of pool balls, this model could be paired with a robotic system to automatically identify and sort different balls, saving time and increasing efficiency.

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{
                            pool-balls-detection-srlqi_dataset,
                            title = { Pool Balls Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Mark },
                            howpublished = { \url{ https://universe.roboflow.com/mark-dj0yk/pool-balls-detection-srlqi } },
                            url = { https://universe.roboflow.com/mark-dj0yk/pool-balls-detection-srlqi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-20 },
                            }