poker Computer Vision Project
HuDz
Updated a month ago
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Classes (81)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* annotate, and create datasets
* collaborate with your team on computer vision projects
* collect & organize images
* export, train, and deploy computer vision models
* understand and search unstructured image data
* use active learning to improve your dataset over time
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==============================
Cards are annotated in YOLOv9 format.
For state of the art Computer Vision training notebooks you can use with this dataset,
No image augmentation techniques were applied.
PokerStars - v2 2023-12-30 7:58pm
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The dataset includes 2629 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on August 12, 2024 at 6:06 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
poker-2mlt9_dataset,
title = { poker Dataset },
type = { Open Source Dataset },
author = { HuDz },
howpublished = { \url{ https://universe.roboflow.com/hudz/poker-2mlt9 } },
url = { https://universe.roboflow.com/hudz/poker-2mlt9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-09-26 },
}