Dataset Versions
Versions
v1
2023-12-20 3:54pm
Generated on Dec 20, 2023
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 25% of images
Saturation: Between -50% and +50%
Exposure: Between -30% and +30%
Blur: Up to 4px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 10% size each