Dataset Versions
v1
2023-12-14 9:38pm
Generated on Dec 14, 2023
281 Total Images
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Dataset Split
Train Set 88%
246Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each