Dataset Versions
v7
2024-11-26 11:50am
Generated on Nov 26, 2024
237 Total Images
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Dataset Split
Train Set 87%
207Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 7-95% Horizontal Region, 23-87% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%