bboxtest2 Object Detection Dataset and Pre-Trained Model by capstone

Images

1432 images

Explore Dataset

Here are a few use cases for this project:

Sports Coaching App: This model can be implemented in a sports coaching tool to analyze the positioning of players, the net, and the ball in the game for refining strategies and improving player performance in tennis.
Sports Event Management: This can be used by event managers to ensure adequate setup and layout for tennis courts in different venues, making sure everything is in a correct and standard position.
Video Gaming Development: The model can help simulate real-world player-ball-court interactions for developing more accurate and immersive tennis video games.
Sports Broadcasting: During broadcasting of live games, the model can be useful for real-time graphics overlay, tracking player and ball movements, and offer statistical analyses to enrich viewer experiences.
Automated Sports Journalism: The tool can be used to autogenerate summative descriptions or perform detailed game analyses, based on the identification and tracking of player and ball positions in professional tennis matches.

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{
                            bboxtest2_dataset,
                            title = { bboxtest2 Dataset },
                            type = { Open Source Dataset },
                            author = { capstone },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-co6i6/bboxtest2 } },
                            url = { https://universe.roboflow.com/capstone-co6i6/bboxtest2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-24 },
                            }