Dataset Versions

v3

2024-04-13 2:56pm

Generated on Apr 13, 2024

Dataset Split

Train Set 88%
903Images
Valid Set 7%
76Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Static Crop: 16-80% Horizontal Region, 12-83% Vertical Region
Resize: Stretch to 320x160
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 1px
Noise: Up to 0.46% of pixels

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