Dataset Versions
v4
2024-11-07 11:14am
Generated on Nov 7, 2024
387 Total Images
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Dataset Split
Train Set 88%
342Images
Valid Set 11%
41Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Grayscale: Apply to 14% of images
Hue: Between -12° and +12°
Saturation: Between -10% and +10%
Brightness: Between -9% and +9%
Exposure: Between -4% and +4%
Blur: Up to 0.3px
Noise: Up to 1.01% of pixels