Dataset Versions
v1
2024-11-18 10:08am
Generated on Nov 18, 2024
108 Total Images
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Dataset Split
Train Set 93%
100Images
Valid Set 5%
5Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels