Dataset Versions
v4
2024-05-12 5:03pm
Generated on May 12, 2024
788 Total Images
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Dataset Split
Train Set 96%
756Images
Valid Set 3%
24Images
Test Set 1%
8Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±40° Horizontal, ±40° Vertical
Grayscale: Apply to 15% of images
Hue: Between -60° and +60°
Saturation: Between -30% and +30%
Brightness: Between -10% and +10%
Exposure: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 0.26% of pixels