Dataset Versions
Versions
v1
2023-11-24 9:12am
Generated on Nov 24, 2023
4485 Total Images
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Dataset Split
Train Set 92%
4143Images
Valid Set 4%
173Images
Test Set 4%
169Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 300x300
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Blur: Up to 2.5px
Noise: Up to 20% of pixels