Dataset Versions
v1
2024-03-04 12:30pm
Generated on Mar 4, 2024
433 Total Images
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Dataset Split
Train Set 82%
354Images
Valid Set 11%
49Images
Test Set 7%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels