Dataset Versions
Versions
v1
2023-11-03 11:37pm
Generated on Nov 4, 2023
54 Total Images
View All Images
Dataset Split
Train Set 100%
54Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each