Dataset Versions
v1
2023-03-20 8:43pm
Generated on Mar 20, 2023
2111 Total Images
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Dataset Split
Train Set 92%
1945Images
Valid Set 5%
110Images
Test Set 3%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels