Dataset Versions
v5
2024-10-17 1:35pm
Generated on Oct 17, 2024
1759 Total Images
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Dataset Split
Train Set 95%
1674Images
Valid Set 5%
85Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.3% of pixels