Abilities Object Detection Dataset and Pre-Trained Model by Voltix

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Explore Dataset

Here are a few use cases for this project:

E-Sports Analysis: The model can be utilized to evaluate players' usage of different abilities in an esports scenario. It can analyze strategies and game plays, allowing for a more refined understanding of the competition.
Game Development: Game developers can use this model to understand the popularity and utility of different abilities and game features, thus informing future game designs or balancing tweaks.
Video Game Casting: Broadcasters and content creators can use this model for real-time game casting, where it can identify the abilities being used by the players and provide accurate play-by-play commentary.
Training A.I. Bots: This model can be used to train A.I. bots for the game. By recognizing the abilities used by champion players, these bots can learn the most effective strategies and abilities to use in different scenarios.
Player Improvement: Players can use this model to analyze their gameplay and understand their usage of different abilities. By recognizing the most and least used abilities, they can identify areas of strength and weakness in their gameplay.

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{
                            abilities_dataset,
                            title = { Abilities Dataset },
                            type = { Open Source Dataset },
                            author = { Voltix },
                            howpublished = { \url{ https://universe.roboflow.com/voltix/abilities } },
                            url = { https://universe.roboflow.com/voltix/abilities },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-02 },
                            }