Dataset Versions
v1
2024-03-27 4:12am
Generated on Mar 27, 2024
68 Total Images
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Dataset Split
Train Set 88%
60Images
Valid Set 7%
5Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.85% of pixels