Dataset Versions
v1
2024-02-15 7:04pm
Generated on Feb 15, 2024
11922 Total Images
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Dataset Split
Train Set 94%
11235Images
Valid Set 4%
459Images
Test Set 2%
228Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels