Dataset Versions
v2
2024-02-12 5:17pm
Generated on Feb 12, 2024
93 Total Images
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Dataset Split
Train Set 87%
81Images
Valid Set 9%
8Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.77% of pixels
Cutout: 3 boxes with 10% size each