Dataset Versions
Versions
v1
2023-03-30 9:40pm
Generated on Mar 30, 2023
234 Total Images
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Dataset Split
Train Set 73%
171Images
Valid Set 26%
60Images
Test Set 1%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 5% of pixels