Dataset Versions
Versions
v1
2023-12-05 12:46pm
Generated on Dec 5, 2023
429 Total Images
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Dataset Split
Train Set 87%
372Images
Valid Set 10%
43Images
Test Set 3%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 5% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%