Dataset Versions
v7
2024-02-29 1:26am
Generated on Feb 28, 2024
4086 Total Images
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Dataset Split
Train Set 86%
3528Images
Valid Set 8%
336Images
Test Set 5%
222Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels