Dribble-identifier Object Detection Dataset and Pre-Trained Model by Basketballdribble

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Explore Dataset

Here are a few use cases for this project:

Sports Broadcasting: The "Dribble-identifier" model could be used in sports broadcasting to provide automatic live insight and analysis for basketball games. By detecting when and where dribbles occur, it could generate player statistics that enhance the viewer's experience.
Player Performance Tracking: This model can help coaches and athletes themselves to evaluate their performance by monitoring dribbling and shooting techniques during games or training. It allows for tracking each player's interaction with the ball, the number of made baskets, timing with the shot clock, and referee interactions.
Referee Training and Assistive Tool: This computer vision model could be a helpful tool for training referees by analyzing their correct and incorrect calls. During live games, it could assist referees by providing real-time checks on moments they might have missed.
Gaming and Virtual Reality: The model can be used in developing more realistic sports video games or virtual reality experiences by mimicking real-world basketball scenarios derived from data that the model collects and interprets.
Sports Betting Analysis: By recognizing dribble patterns, made baskets and shot clock data, the Dribble-identifier model can help sports analysts to create more accurate predictions for basketball games, which would be useful for sports betting industries.

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{
                            dribble-identifier_dataset,
                            title = { Dribble-identifier Dataset },
                            type = { Open Source Dataset },
                            author = { Basketballdribble },
                            howpublished = { \url{ https://universe.roboflow.com/basketballdribble/dribble-identifier } },
                            url = { https://universe.roboflow.com/basketballdribble/dribble-identifier },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-24 },
                            }