Dataset Versions
v4
2024-08-02 8:50am
Generated on Aug 2, 2024
5320 Total Images
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Dataset Split
Train Set 87%
4638Images
Valid Set 8%
432Images
Test Set 5%
250Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%