Dataset Versions
Versions
v1
2024-08-06 4:29pm
Generated on Aug 6, 2024
51 Total Images
View All Images
Dataset Split
Train Set 100%
51Images
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, 26% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -26% and +26%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 4.3px
Noise: Up to 0.49% of pixels