Dataset Versions

v7

2024-03-22 10:34am

Generated on Mar 22, 2024

Dataset Split

Train Set 92%
960Images
Valid Set 4%
40Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.99% of pixels