Dataset Versions
v4
Signatures_with_stamps
Generated on Sep 7, 2024
611 Total Images
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Dataset Split
Train Set 88%
540Images
Valid Set 8%
46Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±9° Horizontal, ±13° Vertical
Exposure: Between -9% and +9%
Blur: Up to 0.7px
Noise: Up to 0.86% of pixels