Dataset Versions
v2
2024-11-06 11:38am
Generated on Nov 6, 2024
392 Total Images
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Dataset Split
Train Set 87%
342Images
Valid Set 8%
33Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 24% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 4.8px
Noise: Up to 1.92% of pixels
Cutout: 15 boxes with 9% size each