footstats_players Computer Vision Project
TRY THIS MODEL
Drop an image or
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_players_dataset,
title = { footstats_players Dataset },
type = { Open Source Dataset },
author = { Kwamina OP },
howpublished = { \url{ https://universe.roboflow.com/kwamina-op-rarig/footstats_players } },
url = { https://universe.roboflow.com/kwamina-op-rarig/footstats_players },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-05-31 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the footstats_players project in your project.
Similar Projects
players-and-balls-ussg-HUKF
105 images
players-and-soccer-ball
854 images
stades-others
62 images
player-ball
182 images