Dataset Versions
v3
2023-11-23 8:58am
Generated on Nov 23, 2023
478 Total Images
View All Images
Dataset Split
Train Set 88%
420Images
Valid Set 8%
38Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
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°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 4px
Noise: Up to 5% of pixels
Mosaic: Applied
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