Dataset Versions
Versions
v1
2024-02-09 1:00am
Generated on Feb 9, 2024
196 Total Images
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Dataset Split
Train Set 87%
171Images
Valid Set 9%
17Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels