Dataset Versions
Versions
v1
2024-02-09 8:24pm
Generated on Feb 9, 2024
8734 Total Images
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Dataset Split
Train Set 96%
8421Images
Valid Set 4%
313Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels