Dataset Versions
v1
2024-04-01 10:21pm
Generated on Apr 1, 2024
2400 Total Images
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Dataset Split
Train Set 88%
2100Images
Valid Set 8%
200Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%