BS Player & Enemy Object Dataset Computer Vision Project
Updated 9 months ago
Brawl Stars Dataset Documentation
The primary objective of this dataset is to facilitate the identification and tracking of adversaries within the popular mobile game, Brawl Stars. The dataset comprises the following annotation categories:
- Player
- Player's Super Ability
- Player's Hyper-Charged button
- Teammate
- Enemy
In the config format that is in order, the label's looks like this:
- player
- player_super
- player_hypercharge
- teammate
- enemy
The player character is identified by the distinct green circular marker positioned beneath their in-game representation. This visual cue serves as a reliable identifier for the player within the Brawl Stars gaming environment.
In contrast, the player's active Super Ability and Hyper-Charged state are detected not by the circular marker but rather through the player's control interface buttons.
Teammates are recognized by the presence of a blue circular marker situated beneath their respective in-game characters, providing a clear visual distinction from other entities.
Conversely, enemy characters are identified by the opposing blue circular markers, allowing for their differentiation from allied units.
This dataset aims to provide a comprehensive and structured approach to identifying and tracking various entities within the Brawl Stars gaming experience, enabling enhanced situational awareness and strategic decision-making for players and developers alike.
You may also like: __https://universe.roboflow.com/neonsharp/open-source-combined-bs-dataset__
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bs-player-enemy-object-dataset_dataset,
title = { BS Player & Enemy Object Dataset Dataset },
type = { Open Source Dataset },
author = { Neonsharp },
howpublished = { \url{ https://universe.roboflow.com/neonsharp/bs-player-enemy-object-dataset } },
url = { https://universe.roboflow.com/neonsharp/bs-player-enemy-object-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-12-22 },
}