Dataset Versions
Versions
v1
2024-02-04 1:42pm
Generated on Feb 4, 2024
723 Total Images
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Dataset Split
Train Set 88%
633Images
Valid Set 8%
60Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 3px
Noise: Up to 1.6% of pixels