Dataset Versions
Versions
v2
Augmented
Generated on Jul 2, 2024
20873 Total Images
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Dataset Split
Train Set 95%
19878Images
Valid Set 3%
700Images
Test Set 1%
295Images
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, 28% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.6px
Noise: Up to 1.88% of pixels