Dataset Versions

v5

ver05

Generated on Jan 22, 2024

Dataset Split

Train Set 82%
390Images
Valid Set 9%
42Images
Test Set 9%
42Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%