TiTi Object Detection Dataset and Pre-Trained Model by Recognition

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: The "TiTi" model can be utilized to analyze sports games, particularly football, to track player movements, strategies, and positions on the field. The model's ability to identify specific body parts allows for granular movement analysis and can provide valuable data to coaches and players alike.
Healthcare Rehabilitation: In physiotherapy and rehabilitation, this model could monitor the movement and therapy progress of patients. For example, it could track the arm or leg movements of a patient during their exercises to ensure they are performed correctly and monitor improvement over time.
Motion Capture Animation: This model could be used in film and game production to more easily create realistic motion capture animations. By identifying different parts of the body, it could help streamline the animation process compared to traditional methods.
Surveillance and Crowd Management Systems: The "TiTi" model can be employed in surveillance systems to help identify and track people in pubic spaces. It can also help in crowd management, detecting the density of people in specified areas, and tracking deranged movements to help law enforcement.
Fitness Training Apps: "TiTi" could be integrated into apps to help users learn proper exercise techniques and form. By identifying different parts of the body, the app could provide real-time feedback to users ensuring they are performing exercises safely and effectively.

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{
                            titi-uvqwk_dataset,
                            title = { TiTi Dataset },
                            type = { Open Source Dataset },
                            author = { Recognition },
                            howpublished = { \url{ https://universe.roboflow.com/recognition/titi-uvqwk } },
                            url = { https://universe.roboflow.com/recognition/titi-uvqwk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-28 },
                            }