Dataset Versions
v3
2023-11-03 4:12pm
Generated on Nov 3, 2023
1491 Total Images
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Dataset Split
Train Set 88%
1305Images
Valid Set 6%
93Images
Test Set 6%
93Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 128x128
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -38° and +38°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -115° and +115°
Saturation: Between -83% and +83%
Brightness: Between -33% and +33%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Noise: Up to 4% of pixels