Dataset Versions
v1
2024-05-10 2:49pm
Generated on May 10, 2024
61 Total Images
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Dataset Split
Train Set 89%
54Images
Valid Set 8%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 17% of images
Brightness: Between -9% and +9%
Exposure: Between -3% and +3%
Blur: Up to 0.5px
Noise: Up to 0.26% of pixels