Dataset Versions
v2
2024-09-20 10:35am
Generated on Sep 20, 2024
243 Total Images
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Dataset Split
Train Set 91%
222Images
Valid Set 5%
13Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Grayscale: Apply to 9% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%