Kwamina OP

footstats_gye_ball

Object Detection

footstats_gye_ball 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{
                            footstats_gye_ball_dataset,
                            title = { footstats_gye_ball Dataset },
                            type = { Open Source Dataset },
                            author = { Kwamina OP },
                            howpublished = { \url{ https://universe.roboflow.com/kwamina-op-rarig/footstats_gye_ball } },
                            url = { https://universe.roboflow.com/kwamina-op-rarig/footstats_gye_ball },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-06-26 },
                            }
                        

Connect Your Model With Program Logic

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Source

Kwamina OP

Last Updated

6 months ago

Project Type

Object Detection

Subject

players-and-balls-ussg-HUKF

Views: 19

Views in previous 30 days: 19

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

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