Dataset Versions
Versions
v1
2023-10-10 6:10pm
Generated on Oct 10, 2023
1736 Total Images
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Dataset Split
Train Set 92%
1602Images
Valid Set 4%
67Images
Test Set 4%
67Images
Preprocessing
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±30° Vertical
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 15px
Noise: Up to 10% of pixels