Dataset Versions
v1
2023-01-23 3:39pm
Generated on Jan 23, 2023
3601 Total Images
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Dataset Split
Train Set 87%
3147Images
Valid Set 8%
298Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels