Dataset Versions
Versions
v1
2024-02-04 12:18am
Generated on Feb 4, 2024
23760 Total Images
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Dataset Split
Train Set 88%
20790Images
Valid Set 8%
1983Images
Test Set 4%
987Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
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°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.2px
Noise: Up to 1.88% of pixels