Dataset Versions
v3
Demo_v1
Generated on Jan 8, 2025
210 Total Images
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Dataset Split
Train Set 87%
183Images
Valid Set 9%
19Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 24% of images
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Noise: Up to 1.49% of pixels