Dataset Versions

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2023-09-21 6:30pm
v2
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a year ago
2023-09-21 5:19pm
v1
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a year ago
v2

2023-09-21 6:30pm

Generated on Sep 21, 2023
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Dataset Split

Train Set 92%
522Images
Valid Set 4%
21Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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