Object Detection
ultralytics
ONNX
yolo11
onnxruntime
playing-cards
card-detection
blackjack
Eval Results (legacy)
Instructions to use sroot/cards_day_1.onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/cards_day_1.onnx 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/cards_day_1.onnx") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: agpl-3.0
library_name: ultralytics
pipeline_tag: object-detection
base_model: Ultralytics/YOLO11
tags:
- object-detection
- yolo11
- onnx
- onnxruntime
- playing-cards
- card-detection
- blackjack
model-index:
- name: cards_day_1
results:
- task:
type: object-detection
dataset:
name: LGD frozen video holdout (117 frames, private)
type: private
metrics:
- type: recall
value: 0.68
name: pip recall @ threshold 50, code-aware
- type: precision
value: 0.604
name: precision proxy