Dataset Versions
v4
2024-07-17 10:56am
Generated on Jul 17, 2024
3418 Total Images
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Dataset Split
Train Set 95%
3255Images
Valid Set 2%
83Images
Test Set 2%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 22% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels