Dataset Versions
Versions
v2
2024-03-16 9:01pm
Generated on Mar 16, 2024
503 Total Images
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Dataset Split
Train Set 89%
450Images
Valid Set 7%
33Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.12% of pixels