Dataset Versions
Versions
v1
2024-11-15 3:11pm
Generated on Nov 15, 2024
10735 Total Images
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Dataset Split
Train Set 87%
9393Images
Valid Set 8%
895Images
Test Set 4%
447Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 50x50
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 23% of images
Hue: Between -14° and +14°