Neonsharp

BS multi-object detection

Object Detection

Roboflow Universe Neonsharp BS multi-object detection

BS multi-object detection Computer Vision Project

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Images

697 images
Explore Dataset

The dataset detects the following objects:

  1. Player health bar
  2. Player position
  3. Teammate health bar
  4. Teammate position
  5. Enemy health bar
  6. Enemy position
  7. Damage taken
  8. Wall
  9. Ball
  10. Gem
  11. Ammo
  12. Gadget
  13. Super
  14. Hypercharge
  15. Shot success
  16. Respawn status
  17. victory status
  18. defeat status
  19. draw status

Checkout the project I made using this dataset: https://github.com/eforce67/BrawlStars-ComputerVision

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            bs-multi-object-detection_dataset,
                            title = { BS multi-object detection Dataset },
                            type = { Open Source Dataset },
                            author = { Neonsharp },
                            howpublished = { \url{ https://universe.roboflow.com/neonsharp/bs-multi-object-detection } },
                            url = { https://universe.roboflow.com/neonsharp/bs-multi-object-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-08 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the BS multi-object detection project in your project.

Source

Neonsharp

Last Updated

10 days ago

Project Type

Object Detection

Subject

brawl-stars-supercell-CD1W

Views: 131

Views in previous 30 days: 131

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

ammo ball damage_taken defeat draw enemy_health_bar enemy_position gadget gem hypercharge player_health_bar player_position respawning shot_success super teammate_health bar teammate_position victory wall
RNT
Teammates-Bushes-Enemies-Boxes
52 images
player-teammates-enemy-bush-wall
435 images