Dataset Versions
v6
2024-11-02 10:53pm
Generated on Nov 2, 2024
816 Total Images
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Dataset Split
Train Set 88%
717Images
Valid Set 12%
99Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.97% of pixels