Dataset Versions
v4
augmented resized
Generated on Apr 27, 2022
15 Total Images
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Dataset Split
Train Set 80%
12Images
Valid Set 7%
1Images
Test Set 13%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 740x520
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 10px
Noise: Up to 10% of pixels