Dataset Versions
v1
2024-04-20 1:44pm
Generated on Apr 20, 2024
2517 Total Images
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Dataset Split
Train Set 87%
2202Images
Valid Set 8%
210Images
Test Set 4%
105Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±8° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels