Dataset Versions
v4
2024-11-04 4:00am
Generated on Nov 4, 2024
480 Total Images
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Dataset Split
Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels