Dataset Versions
v4
2023-05-18 3:01pm
Generated on May 18, 2023
1279 Total Images
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Dataset Split
Train Set 89%
1140Images
Valid Set 7%
86Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-80% Horizontal Region, 20-80% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive 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 -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 46% of images
Blur: Up to 2px
Noise: Up to 8% of pixels
Cutout: 10 boxes with 2% size each