Dataset Versions

v6

2024-03-24 8:42pm

Generated on Mar 24, 2024

Dataset Split

Train Set 94%
25102Images
Valid Set 4%
1025Images
Test Set 2%
512Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 7
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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