Dataset Versions
Versions
v2
new
Generated on Jul 12, 2024
22947 Total Images
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Dataset Split
Train Set 96%
22128Images
Valid Set 4%
819Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 200x200
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Blur: Up to 3.25px
Noise: Up to 1.99% of pixels