Dataset Versions
v8
2023-12-06 11:21pm
Generated on Dec 6, 2023
636 Total Images
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Dataset Split
Train Set 92%
585Images
Valid Set 7%
46Images
Test Set 1%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±11° Horizontal, ±14° Vertical
Grayscale: Apply to 7% of images
Saturation: Between -25% and +25%
Brightness: Between -39% and +39%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels