tracking players and balls 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.
YOLOv5
This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{ tracking-players-and-balls_dataset,
title = { tracking players and balls Dataset },
type = { Open Source Dataset },
author = { NTU },
howpublished = { \url{ https://universe.roboflow.com/ntu-nw2om/tracking-players-and-balls } },
url = { https://universe.roboflow.com/ntu-nw2om/tracking-players-and-balls },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2023-12-11 },
}
Find utilities and guides to help you start using the tracking players and balls project in your project.
Similar Projects
basketball-court-regions
1484 images
'player', 'referee', 'ball', 'rim'
151 images
a
171 images
basketball-Y4ra
240 images
basketaball-instances
127 images