Dataset Versions
v8
2024-07-01 6:36am
Generated on Jul 1, 2024
9449 Total Images
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Dataset Split
Train Set 87%
8232Images
Valid Set 13%
1214Images
Test Set 0%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2.2px
Noise: Up to 1.56% of pixels