ELKROOM

pubg-kill-survival

Object Detection

pubg-kill-survival Computer Vision Project

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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{
                            pubg-kill-survival_dataset,
                            title = { pubg-kill-survival Dataset },
                            type = { Open Source Dataset },
                            author = { ELKROOM },
                            howpublished = { \url{ https://universe.roboflow.com/elkroom-ojb92/pubg-kill-survival } },
                            url = { https://universe.roboflow.com/elkroom-ojb92/pubg-kill-survival },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-15 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the pubg-kill-survival project in your project.

Source

ELKROOM

Last Updated

4 months ago

Project Type

Object Detection

Subject

kill-fBa6-AZqD-DX8v

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Downloads: 1

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License

CC BY 4.0

Classes

kill survival