Dataset Versions
v4
2024-10-02 12:27pm
Generated on Oct 2, 2024
220 Total Images
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Dataset Split
Train Set 87%
192Images
Valid Set 9%
19Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 1.8% of pixels