Dataset Versions
v2
2023-10-02 12:56am
Generated on Oct 1, 2023
545 Total Images
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Dataset Split
Train Set 85%
462Images
Valid Set 9%
47Images
Test Set 7%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 7% of pixels
Cutout: 5 boxes with 13% size each