Dataset Versions
v3
2024-05-02 3:13pm
Generated on May 2, 2024
17992 Total Images
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Dataset Split
Train Set 94%
16954Images
Valid Set 4%
693Images
Test Set 2%
345Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -21° and +21°
Saturation: Between -31% and +31%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 1.1px
Noise: Up to 1.6% of pixels