Dataset Versions

v2

augmentation

Generated on Aug 23, 2023

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Dataset Split

Train Set 88%
1317Images
Valid Set 8%
125Images
Test Set 4%
63Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 15-85% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels

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