Dataset Versions
Versions
v7
80-20 x 256
Generated on May 24, 2024
5200 Total Images
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Dataset Split
Train Set 92%
4800Images
Valid Set 8%
400Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
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, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels