Dataset Versions
Versions
v1
2025-01-05 4:28pm
Generated on Jan 5, 2025
10552 Total Images
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Dataset Split
Train Set 92%
9744Images
Valid Set 4%
406Images
Test Set 4%
402Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels