Nine-balls-segmentation Instance Segmentation Dataset and Pre-Trained Model by wangkq

Images

300 images

Explore Dataset

Here are a few use cases for this project:

Billiards Game Analysis: The model can be employed during pool games for real-time tracking and analysis of shots. This system could help in understanding player strategy, predicting shot possibilities, and providing real-time coaching advice.
Virtual Pool Game Development: Developers of virtual or augmented reality pool games could leverage this model to create more realistic simulations with accurate physics based on how the balls are arranged and move on the table in real life.
Sports Broadcasting Enhancement: Live broadcasts of billiards matches could use the model to provide enhanced visuals, such as highlighting possible shots or predicting ball movement, thereby improving viewer's understanding and enjoyment of the game.
Automated Scoring System: The model can be applied in an automated scoring system where it efficiently keeps track of the game score by identifying which balls have been pocketed and their respective values according to their colors.
Practice Improvement for Players: The technology could be used in a training application to help players improve their skills. By analyzing player shots and comparing them with optimal strategies, it can provide feedback and suggestions for better shot selections or techniques.

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{
                            nine-balls-segmentation_dataset,
                            title = { Nine-balls-segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { wangkq },
                            howpublished = { \url{ https://universe.roboflow.com/wangkq-zuirn/nine-balls-segmentation } },
                            url = { https://universe.roboflow.com/wangkq-zuirn/nine-balls-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-23 },
                            }