Dataset Versions

v2

2024-02-22 7:03am

Generated on Feb 22, 2024

Dataset Split

Train Set 94%
1498Images
Valid Set 4%
61Images
Test Set 2%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.65% of pixels