Dataset Versions
v2
test
Generated on Oct 22, 2023
463 Total Images
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Dataset Split
Train Set 87%
402Images
Valid Set 9%
41Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 30% of images
Brightness: Between -30% and +30%
Blur: Up to 4px