Versions
Versions
v1
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Generated on Feb 10, 2024
1327 Total Images
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Dataset Split
Train Set 87%
1161Images
Valid Set 6%
83Images
Test Set 6%
83Images
Preprocessing
Auto-Orient: Applied
Static Crop: 19-75% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 720x720
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels