Dataset Versions
Versions
v1
2023-12-25 4:41pm
Generated on Dec 25, 2023
476 Total Images
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Dataset Split
Train Set 89%
426Images
Valid Set 6%
30Images
Test Set 4%
20Images
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, 31% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 15% size each