Dataset Versions
Versions
v1
2024-03-28 3:25pm
Generated on Mar 28, 2024
520 Total Images
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Dataset Split
Train Set 92%
480Images
Valid Set 4%
20Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.92% of pixels