Dataset Versions
v1
2024-07-24 7:49pm
Generated on Jul 24, 2024
371 Total Images
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Dataset Split
Train Set 87%
324Images
Valid Set 8%
31Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-86% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.5% of pixels