Dataset Versions
v2
V1
Generated on Aug 28, 2024
4752 Total Images
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Dataset Split
Train Set 95%
4536Images
Valid Set 3%
144Images
Test Set 2%
72Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 5-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.49% of pixels