Dataset Versions
v2
Grayscale_Aungment
Generated on Feb 14, 2024
509 Total Images
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Dataset Split
Train Set 88%
447Images
Valid Set 8%
42Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 0.5% of pixels