Dataset Versions
Versions
v1
2023-12-04 1:21pm
Generated on Dec 4, 2023
102 Total Images
View All Images
Dataset Split
Train Set 88%
90Images
Valid Set 8%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -48% and +48%
Brightness: Between -44% and +44%
Blur: Up to 2.5px