Dataset Versions
v2
2024-11-25 1:09pm
Generated on Nov 25, 2024
2917 Total Images
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Dataset Split
Train Set 87%
2544Images
Valid Set 9%
266Images
Test Set 4%
107Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px