Dataset Versions
Versions
v1
2022-05-07 11:23am
Generated on May 7, 2022
69 Total Images
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Dataset Split
Train Set 87%
60Images
Valid Set 9%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 5% of pixels