Dataset Versions
v2
2024-03-20 10:37pm
Generated on Mar 20, 2024
14674 Total Images
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Dataset Split
Train Set 92%
13545Images
Valid Set 4%
561Images
Test Set 4%
568Images
Preprocessing
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels