Dataset Versions
v2
2024-07-01 5:45am
Generated on Jul 1, 2024
322 Total Images
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Dataset Split
Train Set 90%
291Images
Valid Set 6%
19Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px