Augmented Startups

Playing Cards

Object Detection

Playing Cards Image Dataset

v4

YOLOv8n

Generated on Mar 7, 2023

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Dataset Split

Train Set 88%
21210Images
Valid Set 8%
2020Images
Test Set 4%
1010Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.75px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 2% size each