Dataset Versions
v2
2024-05-31 9:21pm
Generated on Jun 1, 2024
103 Total Images
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Dataset Split
Train Set 87%
90Images
Valid Set 9%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels