Dataset Versions
v2
CHILTOA
Generated on Nov 11, 2024
2990 Total Images
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Dataset Split
Train Set 87%
2616Images
Valid Set 8%
250Images
Test Set 4%
124Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 500x800
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 -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 0.9px
Noise: Up to 1.53% of pixels