Dataset Versions
v2
2024-07-12 3:49am
Generated on Jul 12, 2024
85 Total Images
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Dataset Split
Train Set 88%
75Images
Valid Set 8%
7Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.77% of pixels