Dataset Versions
v2
2024-11-26 10:44pm
Generated on Nov 26, 2024
3852 Total Images
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Dataset Split
Train Set 87%
3366Images
Valid Set 8%
325Images
Test Set 4%
161Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels