Dataset Versions
Versions
v1
2024-01-22 4:58pm
Generated on Jan 22, 2024
179 Total Images
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Dataset Split
Train Set 87%
156Images
Valid Set 8%
15Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%