Dataset Versions
Versions
v1
2023-11-17 12:03am
Generated on Nov 16, 2023
58 Total Images
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Dataset Split
Train Set 88%
51Images
Valid Set 9%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels