Dataset Versions
v1
2024-11-14 8:20pm
Generated on Nov 14, 2024
676 Total Images
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Dataset Split
Train Set 92%
624Images
Valid Set 4%
27Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 3 boxes with 55% size each