Dataset Versions

v1

2024-01-18 6:58pm

Generated on Jan 18, 2024

Dataset Split

Train Set 100%
51Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.97% of pixels