Dataset Versions
v2
2024-05-25 5:54pm
Generated on May 25, 2024
1966 Total Images
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Dataset Split
Train Set 96%
1881Images
Valid Set 2%
49Images
Test Set 2%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 33 remapped, 0 dropped
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 -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels