Dataset Versions
v1
2024-11-25 11:10am
Generated on Nov 25, 2024
419 Total Images
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Dataset Split
Train Set 87%
366Images
Valid Set 8%
35Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels