Dataset Versions
v7
extensive augs
Generated on Feb 23, 2024
100 Total Images
View All Images
Dataset Split
Train Set 80%
80Images
Valid Set 12%
12Images
Test Set 8%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Augmentations
Outputs per training example: 4
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels