Dataset Versions
v6
2024-02-09 10:09am
Generated on Feb 9, 2024
436 Total Images
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Dataset Split
Train Set 91%
396Images
Valid Set 7%
32Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%