Skip to content

Playing Cards Dataset

Playing Cards is an experimental object detection dataset developed at Au-Zone Technologies to evaluate embedded models in indoor scenarios.

Object Detection Benchmark (50 epochs)

COCO Metrics - RGB - (640x640) | ONNX

Model mAP@0.5 mAP@0.5..0.95
modelpack-csp19-small-640x640-rgb 0.874 0.687
modelpack-csp19-medium-640x640-rgb 0.909 0.683
modelpack-csp19-large-640x640-rgb 0.926 0.731
modelpack-csp53-nano-640x640-rgb 0.876 0.706
modelpack-csp53-small-640x640-rgb 0.931 0.755
ultralytics-yolov8n-640x640-rgb 0.829 0.700

Timing Benchmark

Time information is not included in this validation because they can change depending on the hardware quality of the cloud servers in EdgeFirst Studio. The timing benchmarks are provided when the models are run on specific platforms such as the i.MX 8M Plus.

COCO Metrics - RGB - (640x640) | TFLite | INT8

Model mAP@0.5 mAP@0.5..0.95 Time (ms)
modelpack-csp19-small-640x640-rgb 0.867 0.642 15.99
modelpack-csp19-medium-640x640-rgb 0.901 0.643 20.60
modelpack-csp19-large-640x640-rgb 0.909 0.658 24.46
modelpack-csp53-nano-640x640-rgb 0.862 0.642 44.08
modelpack-csp53-small-640x640-rgb 0.928 0.692 79.29
ultralytics-yolov8n-640x640-rgb 0.809 0.671 138.13

BSP Version

i.MX 8M Plus is flashed with NXP Yocto BSP 6.12.

Dataset Information

Groups:

  • train: 1328 Images
  • val: 148 images

It contains 1,476 images in total and 13 classes.

Class Distribution
Playing Cards Dataset Gallery

License

TBA