Dataset Versions
Versions
v1
2023-07-14 5:34pm
Generated on Jul 14, 2023
240 Total Images
View All Images
Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -40% and +40%
Brightness: Between -26% and +26%
Exposure: Between -20% and +20%
Blur: Up to 3.75px
Noise: Up to 8% of pixels