Dataset Versions
v2
2024-01-08 10:08pm
Generated on Jan 8, 2024
631 Total Images
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Dataset Split
Train Set 88%
555Images
Valid Set 8%
50Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.75px
Noise: Up to 0.5% of pixels