Dataset Versions
Versions
v1
2024-07-17 3:32am
Generated on Jul 17, 2024
391 Total Images
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Dataset Split
Train Set 87%
342Images
Valid Set 8%
33Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x800
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels