Dataset Versions
v1
2024-02-19 7:14pm
Generated on Feb 20, 2024
20 Total Images
View All Images
Dataset Split
Train Set 75%
15Images
Valid Set 15%
3Images
Test Set 10%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels