Dataset Versions
v3
2024-02-09 7:45pm
Generated on Feb 10, 2024
5795 Total Images
View All Images
Dataset Split
Train Set 87%
5070Images
Valid Set 8%
484Images
Test Set 4%
241Images
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, 10% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels