Dataset Versions
Versions
v1
2023-05-20 8:53pm
Generated on May 20, 2023
370 Total Images
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Dataset Split
Train Set 88%
327Images
Valid Set 7%
27Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each