Dataset Versions
v1
2022-11-09 1:09am
Generated on Nov 8, 2022
870 Total Images
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Dataset Split
Train Set 90%
783Images
Valid Set 8%
73Images
Test Set 2%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels