Dataset Versions
Versions
v1
2024-08-11 10:41am
Generated on Aug 11, 2024
31620 Total Images
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Dataset Split
Train Set 82%
26056Images
Valid Set 12%
3716Images
Test Set 6%
1848Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 3% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Brightness: Between -23% and +23%
Exposure: Between -14% and +14%
Blur: Up to 1.8px
Noise: Up to 0.97% of pixels