Dataset Versions
v1
2024-05-30 3:03pm
Generated on May 30, 2024
1784 Total Images
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Dataset Split
Train Set 83%
1485Images
Valid Set 7%
119Images
Test Set 10%
180Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Blur: Up to 1.3px
Noise: Up to 1.8% of pixels