Dataset Versions
v2
2023-06-21 3:41am
Generated on Jun 21, 2023
3707 Total Images
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Dataset Split
Train Set 88%
3246Images
Valid Set 7%
260Images
Test Set 5%
201Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 96x96
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px