Dataset Versions
v2
2024-06-24 4:28am
Generated on Jun 24, 2024
9670 Total Images
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Dataset Split
Train Set 87%
8457Images
Valid Set 8%
741Images
Test Set 5%
472Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels