Dataset Versions
v4
2024-01-08 6:27pm
Generated on Jan 8, 2024
570 Total Images
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Dataset Split
Train Set 88%
501Images
Valid Set 8%
47Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images