Dataset Versions

v7

with augmentation

Generated on Oct 9, 2024

Dataset Split

Train Set 94%
15050Images
Valid Set 3%
504Images
Test Set 3%
503Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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