Dataset Versions
v11
2023-10-24 4:58pm
Generated on Oct 24, 2023
866 Total Images
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Dataset Split
Train Set 87%
756Images
Valid Set 8%
73Images
Test Set 4%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels