Universe

Playing Cards Computer Vision Dataset

byskypeaTask:
Object Detection
License:Public Domain
See all 10k imagesPlaying Cards cards sample showing 2D, 4H, 8CPlaying Cards cards sample showing 4D, 6S, JSPlaying Cards cards sample showing 4D, 4S, 9SPlaying Cards cards sample showing 6S, KC, QHPlaying Cards cards sample showing 10S, 5S, 8DPlaying Cards cards sample showing 10H, 2C, QDPlaying Cards cards sample showing 3H, JH, QHPlaying Cards cards sample showing 5S, 6S, 8SPlaying Cards cards sample showing 5S, QCPlaying Cards cards sample showing 10S, AS, JSPlaying Cards cards sample showing 9C, KDPlaying Cards cards sample showing 5S, 9C, KS

About Playing Cards 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 Footage

Training and Deployment

The playing cards model has been trained in Roboflow, available for inference on the Dataset tab.

One could also 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. You can learn more here: https://augmentedstartups.info/YOLOR-Get-Started

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

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.

Use Free 10C, 10D and 10H Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "10C, 10D, 10H, 10S, 2C"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicensePublic Domain

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

@misc{ playing-cards-ow27d-9pnmd_dataset,
  title = { Playing Cards Dataset },
  type = { Open Source Dataset },
  author = { skypea },
  howpublished = { \url{ https://universe.roboflow.com/skypea/playing-cards-ow27d-9pnmd } },
  url = { https://universe.roboflow.com/skypea/playing-cards-ow27d-9pnmd },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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