Dataset Versions
Versions
v1
2023-06-19 3:02pm
Generated on Jun 19, 2023
467 Total Images
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Dataset Split
Train Set 87%
408Images
Valid Set 8%
39Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x384
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 5% of pixels