Dataset Versions
v2
2023-02-02 5:04pm
Generated on Feb 2, 2023
1017 Total Images
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Dataset Split
Train Set 100%
1017Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -55% and +55%
Brightness: Between -38% and +38%
Exposure: Between -24% and +24%
Blur: Up to 1px
Noise: Up to 4% of pixels