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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.

The projects used to combine are:

Brawl Stars 2 > fixed labels https://universe.roboflow.com/ryan-pappa/brawl-stars-2

Brawl stars > 2023-12-14 9:33am https://universe.roboflow.com/brawl-stars-1ugik/brawl-stars-tiu3s

BS Player & Enemy Object Dataset Project https://universe.roboflow.com/neonsharp/bs-player-enemy-object-dataset

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            open-source-combined-bs-dataset_dataset,
                            title = { Open-Source Combined BS dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Neonsharp },
                            howpublished = { \url{ https://universe.roboflow.com/neonsharp/open-source-combined-bs-dataset } },
                            url = { https://universe.roboflow.com/neonsharp/open-source-combined-bs-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-06-20 },
                            }