Dataset Versions
Versions
v1
2023-04-17 3:52am
Generated on Apr 16, 2023
152 Total Images
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Dataset Split
Train Set 95%
144Images
Valid Set 4%
6Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-62% Horizontal Region, 19-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 6% of pixels