Dataset Versions
v1
2023-01-25 11:53pm
Generated on Jan 25, 2023
135 Total Images
View All Images
Dataset Split
Train Set 100%
135Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±32° Horizontal, ±45° Vertical
Grayscale: Apply to 61% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -40% and +40%
Exposure: Between -40% and +40%
Blur: Up to 4.75px
Noise: Up to 9% of pixels
Cutout: 5 boxes with 24% size each