Dataset Versions

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2023-05-30 2:08pm
v7
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2 years ago
2023-05-21 2:10pm
v6
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2 years ago
2023-05-21 2:01pm
v5
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2 years ago
2023-05-21 1:52pm
v4
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2 years ago
2023-05-21 1:48pm
v3
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2 years ago
2023-05-21 1:46pm
v2
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2 years ago
2023-05-21 12:25pm
v1
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2 years ago
v2

2023-05-21 1:46pm

Generated on May 21, 2023
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5197 Total Images

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Dataset Split

Train Set 92%
4797Images
Valid Set 4%
200Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Noise: Up to 2% of pixels

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