Dataset Versions

v3

2024-09-08 12:49pm

Generated on Sep 8, 2024

Dataset Split

Train Set 80%
840Images
Valid Set 10%
107Images
Test Set 10%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-80% Horizontal Region, 25-71% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Shear: ±15° Horizontal, ±10° Vertical
Blur: Up to 4px
Noise: Up to 1.25% of pixels

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