LUAR1-HITAM Image Dataset
Versions
v1
2023-02-24 2:20am
Generated on Feb 23, 2023
4940 Total Images
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Dataset Split
Train Set 91%
4485Images
Valid Set 6%
295Images
Test Set 3%
160Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
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