Dataset Versions
v3
2024-01-10 3:30pm
Generated on Jan 10, 2024
2898 Total Images
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Dataset Split
Train Set 87%
2517Images
Valid Set 8%
238Images
Test Set 5%
143Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.3px
Noise: Up to 1.81% of pixels