Dataset Versions
v4
2022-10-25 1:40pm
Generated on Oct 25, 2022
2080 Total Images
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Dataset Split
Train Set 92%
1920Images
Valid Set 4%
80Images
Test Set 4%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels