Dataset Versions
v2
2024-07-20 9:51am
Generated on Jul 20, 2024
5565 Total Images
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Dataset Split
Train Set 92%
5136Images
Valid Set %
0Images
Test Set 8%
429Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 15-85% Vertical Region
Resize: Stretch to 640x360
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Blur: Up to 2px
Noise: Up to 0.26% of pixels