Dataset Versions
v1
2023-06-28 6:29pm
Generated on Jun 29, 2023
2411 Total Images
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Dataset Split
Train Set 87%
2109Images
Valid Set 8%
202Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
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
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels