Images

10104 images

Explore Dataset

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] Video Demo using YOLOR- https://youtu.be/2lGTZuaH4ec

Use Cases

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

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. Trained for 150 Epoch using YOLOR.

About Augmented Startups

We are at the forefront of Artificial Intelligence in computer vision. With over 90k 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.

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.

Cite This Project

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

@misc{
                            play_cards_standard_dataset,
                            title = { Play_cards_standard Dataset },
                            type = { Open Source Dataset },
                            author = { Augmented Startups },
                            howpublished = { \url{ https://universe.roboflow.com/augmented-startups-private/play_cards_standard } },
                            url = { https://universe.roboflow.com/augmented-startups-private/play_cards_standard },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { aug },
                            note = { visited on 2024-04-25 },
                            }