Dataset Versions
v7
2024-03-06 7:58pm
Generated on Mar 7, 2024
205 Total Images
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Dataset Split
Train Set 89%
183Images
Valid Set 11%
22Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
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°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.84% of pixels