YOLO Object Detection for Playing Cards

Training a YOLOv2 model with the Darknet object detection framework for real-time detection of playing cards

Demo

Click the video below:

Results

I ran YOLOv3 on my own generated dataset of 60,000 images (20% saved as test set). Results:

mAP	IoU	F1-Score
99.86%	82.92%	0.99

The script runs inference at real-time (30fps) on a live video feed.

Limitations

• Only tested on Bicycle cards. I chose this deck due to its popularity in commercial use.