Dataset Versions
Versions
v1
2024-03-01 11:21pm
Generated on Mar 1, 2024
2088 Total Images
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Dataset Split
Train Set 87%
1824Images
Valid Set 8%
176Images
Test Set 4%
88Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 320x320
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels