Dataset Versions
v2
2023-08-06 9:53pm
Generated on Aug 6, 2023
1593 Total Images
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Dataset Split
Train Set 91%
1446Images
Valid Set 5%
86Images
Test Set 4%
61Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -83° and +83°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels