Dataset Versions

v2

2024-06-28 8:40am

Generated on Jun 28, 2024

Dataset Split

Train Set 80%
45Images
Valid Set 13%
7Images
Test Set 7%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 1.05% of pixels