Dataset Versions
Versions
v2
Prototype
Generated on Jan 5, 2024
13440 Total Images
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Dataset Split
Train Set 88%
11760Images
Valid Set 8%
1120Images
Test Set 4%
560Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±16° Horizontal, ±30° Vertical
Grayscale: Apply to 22% of images
Hue: Between -117° and +117°
Saturation: Between -66% and +66%
Brightness: Between -38% and +38%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 3.47% of pixels