Dataset Versions
Versions
v1
2022-12-25 7:18pm
Generated on Dec 25, 2022
4035 Total Images
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Dataset Split
Train Set 87%
3528Images
Valid Set 8%
339Images
Test Set 4%
168Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 100x100
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Grayscale: Apply to 10% of images
Hue: Between -90° and +90°
Saturation: Between -54% and +54%
Brightness: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels