Dataset Versions

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2023-02-12 12:06am
v7
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2 years ago
2023-02-11 8:37pm
v6
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2 years ago
2023-02-11 8:35pm
v5
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2 years ago
2023-02-10 11:03pm
v4
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2 years ago
2023-02-10 3:21pm
v3
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2 years ago
2023-02-09 4:28pm
v2
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2 years ago
2023-02-09 4:24pm
v1
·
2 years ago
v1

2023-02-09 4:24pm

Generated on Feb 9, 2023
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320 Total Images

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Dataset Split

Train Set 94%
300Images
Valid Set 5%
15Images
Test Set 2%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -35° and +35°
Shear: ±24° Horizontal, ±12° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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