Poker card Computer Vision Project

ttest

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Classes (54)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Grayscale (CRT phosphor)
* Resize to 416x416 (Stretch)
* Salt and pepper noise was applied to 5 percent of pixels
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For state of the art Computer Vision training notebooks you can use with this dataset,
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 11117 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on January 20, 2023 at 11:41 AM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
To-txt-and-xml are annotated in YOLOv8 format.
big cards - v5 2022-10-06 4:54pm
visit https://github.com/roboflow/notebooks

A description for this project has not been published yet.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            poker-card_dataset,
                            title = { Poker card Dataset },
                            type = { Open Source Dataset },
                            author = { ttest },
                            howpublished = { \url{ https://universe.roboflow.com/ttest-oo22r/poker-card } },
                            url = { https://universe.roboflow.com/ttest-oo22r/poker-card },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-12-27 },
                            }