Dataset Versions
v3
2024-05-20 3:47pm
Generated on May 20, 2024
693 Total Images
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Dataset Split
Train Set 82%
567Images
Valid Set 9%
63Images
Test Set 9%
63Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
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, 28% Maximum Zoom
Rotation: Between -20° and +20°
Noise: Up to 1.05% of pixels
Cutout: 3 boxes with 10% size each