Dataset Versions
v1
2023-11-09 10:10am
Generated on Nov 9, 2023
1590 Total Images
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Dataset Split
Train Set 88%
1392Images
Valid Set 8%
132Images
Test Set 4%
66Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels