Dataset Versions
Versions
v1
2024-02-22 11:04pm
Generated on Feb 22, 2024
4484 Total Images
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Dataset Split
Train Set 88%
3924Images
Valid Set 8%
373Images
Test Set 4%
187Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.81% of pixels