Dataset Versions
Versions
v1
2024-02-17 6:44pm
Generated on Feb 17, 2024
1156 Total Images
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Dataset Split
Train Set 88%
1020Images
Valid Set 12%
136Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 160x160
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -23% and +23%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 0.14% of pixels