Play_cards_standard Computer Vision Project

Augmented Startups

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Description

Overview

The Playing Cards dataset is a collection of synthetically generated cards blended into various types of backgrounds. You will be able to perform object detection to detect both number and suit of the cards.

Example Image

Card Example [TODO]

Use Cases

One could build a Card Counting model for either Black Jack or Poker using YOLOR or Roboflow Train. This is achieved using the Roboflow Platform which you can deploy the model for robust and real-time detections.

Using this Dataset

Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings, or additional augmentations to make your model generalize better.

About Augmented Startups

We are at the forefront of Artificial Intelligence in computer vision. With over 88k subscribers on YouTube, we embark on fun and innovative projects in this field and create videos and courses so that everyone can be an expert in this field. Our vision is to create a world full of inventors that can turn their dreams into reality.

Supervision

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Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            play_cards_standard-ipfvd_dataset,
                            title = { Play_cards_standard Dataset },
                            type = { Open Source Dataset },
                            author = { Augmented Startups },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-support-wwf5e/play_cards_standard-ipfvd } },
                            url = { https://universe.roboflow.com/roboflow-support-wwf5e/play_cards_standard-ipfvd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }