projet_MIDVI Object Detection Dataset and Pre-Trained Model by analyse vidio

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Explore Dataset

Here are a few use cases for this project:

Sports Analytics: The model can be used by sports analysts to automatically annotate game footage with player and ball locations, referees' positions and possibly determining different interactions in the game.
Improved Broadcasting: Broadcasting networks can use project_MIDVI to enhance their live streams, auto-highlighting players, the ball, and referees to provide a more immersive experience for viewers.
Augmented Reality Applications: The model can be integrated into AR applications to superimpose real-time stats or extra info over the soccer players, ball or referees during a live match.
Player Training and Improvement: Coaches and players can use this model to analyze player and ball movements post-game to improve strategies, techniques or to understand game dynamics.
Video Games Development: Developers of sports video games can use project_MIDVI to make their AI more realistic by learning from the model's identifications of players, ball and referees.

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{
                            projet_midvi_dataset,
                            title = { projet_MIDVI Dataset },
                            type = { Open Source Dataset },
                            author = { analyse vidio },
                            howpublished = { \url{ https://universe.roboflow.com/analyse-vidio/projet_midvi } },
                            url = { https://universe.roboflow.com/analyse-vidio/projet_midvi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-18 },
                            }