Dataset Versions
Versions
v1
2023-10-07 10:12pm
Generated on Oct 7, 2023
190 Total Images
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Dataset Split
Train Set 85%
162Images
Valid Set 9%
18Images
Test Set 5%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
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°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -63% and +63%
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 5% of pixels