Dataset Versions
v3
2024-07-26 5:45am
Generated on Jul 26, 2024
168 Total Images
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Dataset Split
Train Set 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.3px
Noise: Up to 0.3% of pixels
Cutout: 3 boxes with 5% size each