Conext 19 Object Detection Dataset and Pre-Trained Model by Conext 19

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics and Event Detection: Use Conext 19 to identify and track different ball types and robots during sports games and events, allowing for advanced analytics of player and robot performance, as well as automatic event detection (e.g., goals, passes, assists).
Robotics and Automation in Sports Training: Implement Conext 19 in training environments where robots and balls are used together to help athletes refine their skills, monitor performance, and suggest improvements throughout practice sessions. This model could be deployed in robotic ball-throwing machines, self-organizing practice drills, and real-time feedback systems.
Inventory Management and Organization: Employ Conext 19 to help with inventory tracking and control in sports equipment stores or warehouses, enabling automated counting and sorting of balls and robot-related objects, as well as their categorization by type and subtype.
Sports Content Creation and Editing: Integrate Conext 19 into video editing software to automatically recognize and tag ball and robot objects, making it easier for content creators to annotate, filter, and manipulate sports footage for highlights, promotional materials, and educational resources.
Interactive Sports Experiences and Gamification: Utilize Conext 19 to create immersive and interactive sports experiences, such as augmented reality applications, where users can engage with virtual ball and robot objects or simulate participation in various sports activities to improve their skills, enjoy friendly competition, and stay active.

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-19_dataset,
                            title = { Conext 19 Dataset },
                            type = { Open Source Dataset },
                            author = { Conext 19 },
                            howpublished = { \url{ https://universe.roboflow.com/conext-19/conext-19 } },
                            url = { https://universe.roboflow.com/conext-19/conext-19 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-05 },
                            }