Dataset Versions

v4

2024-08-01 2:40pm

Generated on Aug 1, 2024

Dataset Split

Train Set 90%
1740Images
Valid Set 6%
113Images
Test Set 4%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.56% of pixels

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