Dataset Versions
Versions
v1
2023-11-21 3:05am
Generated on Nov 20, 2023
28396 Total Images
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Dataset Split
Train Set 82%
23232Images
Valid Set 9%
2584Images
Test Set 9%
2580Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -26% and +26%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 18% of pixels