document_classification Dataset
Versions
v1
2024-04-13 5:31pm
Generated on Apr 13, 2024
1145 Total Images
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Dataset Split
Train Set 88%
1002Images
Valid Set 8%
96Images
Test Set 4%
47Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -23% and +23%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.3% of pixels