Dataset Versions
v1
2024-06-27 3:26pm
Generated on Jun 27, 2024
1176 Total Images
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Dataset Split
Train Set 88%
1029Images
Valid Set 8%
98Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Saturation: Between -39% and +39%
Blur: Up to 1.1px