Dataset Versions
v9
2024-09-11 9:07am
Generated on Sep 11, 2024
227 Total Images
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Dataset Split
Train Set 83%
189Images
Valid Set 11%
26Images
Test Set 5%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 510x920
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -20% and +20%
Blur: Up to 0.9px
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom