Dataset Versions
Versions
v1
2023-03-15 10:20am
Generated on Mar 15, 2023
354 Total Images
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Dataset Split
Train Set 87%
309Images
Valid Set 8%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±16° Vertical
Saturation: Between -60% and +60%
Brightness: Between -29% and +29%
Blur: Up to 1.5px
Noise: Up to 2% of pixels