Dataset Versions

v1

2024-02-05 11:52am

Generated on Feb 5, 2024

Dataset Split

Train Set 87%
144Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels