Dataset Versions
Versions
v1
2024-10-06 3:00pm
Generated on Oct 6, 2024
185 Total Images
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Dataset Split
Train Set 88%
162Images
Valid Set 9%
16Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 20% of images
Hue: Between -51° and +51°
Saturation: Between -50% and +50%
Brightness: Between -40% and +40%
Exposure: Between -10% and +10%
Blur: Up to 2.1px
Noise: Up to 6.04% of pixels
Cutout: 3 boxes with 26% size each