Dataset Versions
v2
2024-05-29 1:22pm
Generated on May 29, 2024
385 Total Images
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Dataset Split
Train Set 94%
360Images
Valid Set %
0Images
Test Set 6%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -9% and +9%
Blur: Up to 2px
Noise: Up to 0.1% of pixels