Dataset Versions
v2
2024-12-05 10:37am
Generated on Dec 5, 2024
1760 Total Images
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Dataset Split
Train Set 93%
1632Images
Valid Set 4%
64Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 4 rows x 4 columns
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 -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1% of pixels