Dataset Versions

v4

augmented-3x-FAST-model_StaticCrop

Generated on Aug 22, 2022

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Dataset Split

Train Set 87%
69Images
Valid Set 9%
7Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 20-100% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Cutout: 7 boxes with 5% size each

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