Dataset Versions

v10

2024-06-04 5:45pm

Generated on Jun 4, 2024

Dataset Split

Train Set 87%
177Images
Valid Set 8%
17Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-75% Horizontal Region, 20-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Exposure: Between -14% and +14%