Dataset Versions
v1
2024-11-01 11:39am
Generated on Nov 1, 2024
4155 Total Images
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Dataset Split
Train Set 88%
3639Images
Valid Set 6%
257Images
Test Set 6%
259Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 224x224
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±7° Horizontal, ±7° Vertical
Brightness: Between -10% and +10%