Dataset Versions
v2
2024-02-09 5:43pm
Generated on Feb 9, 2024
166 Total Images
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Dataset Split
Train Set 76%
126Images
Valid Set 14%
24Images
Test Set 10%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 25% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±27° Vertical
Grayscale: Apply to 50% of images
Hue: Between -98° and +98°
Saturation: Between -62% and +62%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 1px
Noise: Up to 4.02% of pixels