Dataset Versions
v3
2024-10-27 3:07am
Generated on Oct 27, 2024
29 Total Images
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Dataset Split
Train Set 83%
24Images
Valid Set 14%
4Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Noise: Up to 0.54% of pixels