Conext 21 Object Detection Dataset and Pre-Trained Model by Conext 21

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics and Broadcasting: Conext 21 can be used to track different types of balls in various sports, enabling live statistics generation and analysis, player tracking, and automated highlight selection in broadcasting.
Robotics and Automation: The model can assist in developing robots that can identify and interact with balls, like playing soccer, basketball, or other ball games. This can be useful in designing specialized sports robots or incorporating ball-handling capabilities into general-purpose robots.
Inventory Management and Sorting: Companies dealing in sports equipment or toys can use this computer vision model to automate their inventory management and sorting processes, reducing human error and increasing efficiency.
Gaming and Virtual Reality: Conext 21 can be used to develop more realistic and immersive gaming experiences by detecting and tracking balls in the game environment, allowing the creation of responsive and dynamic sports simulations.
Education and Training: The model can support physical education and sports coaching software that needs to analyze student or athlete performance, offering real-time insights to improve technique, identify strengths and weaknesses, or create tailor-made training programs.

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{
                            conext-21_dataset,
                            title = { Conext 21 Dataset },
                            type = { Open Source Dataset },
                            author = { Conext 21 },
                            howpublished = { \url{ https://universe.roboflow.com/conext-21/conext-21 } },
                            url = { https://universe.roboflow.com/conext-21/conext-21 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-08 },
                            }