Dataset Versions
v2
2024-04-18 9:38pm
Generated on Apr 18, 2024
32649 Total Images
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Dataset Split
Train Set 94%
30765Images
Valid Set 4%
1257Images
Test Set 2%
627Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 224x224
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels