Dataset Versions
v3
2024-01-19 3:12pm
Generated on Jan 19, 2024
783 Total Images
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Dataset Split
Train Set 88%
687Images
Valid Set 8%
62Images
Test Set 4%
34Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.14% of pixels