Dataset Versions
v1
2023-07-02 11:25pm
Generated on Jul 2, 2023
3106 Total Images
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Dataset Split
Train Set 92%
2868Images
Valid Set 4%
118Images
Test Set 4%
120Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 1 rows x 1 columns
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px