Dataset Versions

Versions
2023-10-05 2:08pm
v1
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a year ago
v1

2023-10-05 2:08pm

Generated on Oct 5, 2023
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669 Total Images

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Dataset Split

Train Set 92%
618Images
Valid Set 4%
25Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%

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