Dataset Versions
Versions
v1
2022-10-07 3:37pm
Generated on Oct 7, 2022
1118 Total Images
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Dataset Split
Train Set 87%
978Images
Valid Set 8%
93Images
Test Set 4%
47Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels