Dataset Versions
Versions
v1
2023-07-12 1:49pm
Generated on Jul 12, 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
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Shear: ±17° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels