Dataset Versions

v4

NanoG1

Generated on Aug 11, 2024

Dataset Split

Train Set 100%
48Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels