Dataset Versions
Versions
v7
2024-02-24 10:40am
Generated on Feb 24, 2024
19392 Total Images
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Dataset Split
Train Set 86%
16608Images
Valid Set 10%
1856Images
Test Set 5%
928Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 224x224
Tile: 2 rows x 2 columns
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
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels