Dataset Versions

Versions
2023-03-15 12:45pm
v2
·
2 years ago
2023-03-09 5:55pm
v1
·
2 years ago
v1

2023-03-09 5:55pm

Generated on Mar 9, 2023
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4720 Total Images

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Dataset Split

Train Set 92%
4320Images
Valid Set 5%
250Images
Test Set 3%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227

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°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images

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