Dataset Versions
v1
2023-09-19 4:52pm
Generated on Sep 19, 2023
14272 Total Images
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Dataset Split
Train Set 92%
13120Images
Valid Set 5%
768Images
Test Set 3%
384Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 32x32
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 8 rows x 8 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels