Object Detection
ultralytics
ONNX
yolo11
onnxruntime
playing-cards
card-detection
casino
live-game-defender
Eval Results (legacy)
Instructions to use sroot/lgd-cards-gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/lgd-cards-gen1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("sroot/lgd-cards-gen1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 590 Bytes
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- AC
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- KC
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nc: 52
roboflow:
license: Public Domain
project: playing-cards-ow27d
url: https://universe.roboflow.com/augmented-startups/playing-cards-ow27d/dataset/4
version: 4
workspace: augmented-startups
test: test/images
train: train/images
val: valid/images
path: /home/novakj/projects/casino-vision/data/rf_ow27d_v4
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