Dataset Versions
v4
2024-08-31 11:15pm
Generated on Aug 31, 2024
270 Total Images
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Dataset Split
Train Set 87%
234Images
Valid Set 8%
22Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: plate
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels