Dataset Versions
v2
2024-09-02 5:04am
Generated on Sep 2, 2024
1447 Total Images
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Dataset Split
Train Set 94%
1365Images
Valid Set 4%
55Images
Test Set 2%
27Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±21° Horizontal, ±22° Vertical
Hue: Between -0° and +0°
Saturation: Between -0% and +0%
Exposure: Between -2% and +2%
Blur: Up to 1.7px
Noise: Up to 0.1% of pixels