Dataset Versions
Versions
v1
2023-11-27 11:46pm
Generated on Nov 27, 2023
586 Total Images
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Dataset Split
Train Set 88%
513Images
Valid Set 8%
49Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Shear: ±24° Horizontal, ±16° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels