Dataset Versions
Versions
v1
2024-12-27 3:20pm
Generated on Dec 27, 2024
238 Total Images
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Dataset Split
Train Set 87%
207Images
Valid Set 10%
23Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels