Dataset Versions
v4
2024-09-19 9:37pm
Generated on Sep 19, 2024
1260 Total Images
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Dataset Split
Train Set 81%
1020Images
Valid Set 11%
142Images
Test Set 8%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels