Dataset Versions
Versions
v1
2023-05-17 3:30pm
Generated on May 17, 2023
264 Total Images
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Dataset Split
Train Set 88%
231Images
Valid Set 8%
22Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -40% and +40%
Blur: Up to 2.5px
Noise: Up to 5% of pixels