Dataset Versions
v6
2024-11-30 10:24pm
Generated on Nov 30, 2024
5054 Total Images
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Dataset Split
Train Set 90%
4533Images
Valid Set 7%
352Images
Test Set 3%
169Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1.1px
Noise: Up to 0.1% of pixels