Dataset Versions

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2023-06-11 3:34pm
v7
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2 years ago
2023-06-10 11:33am
v6
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2 years ago
2023-06-07 11:48pm
v5
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2 years ago
2023-06-07 4:00pm
v4
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2 years ago
2023-05-25 10:44pm
v3
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2 years ago
2023-05-21 12:17am
v2
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2 years ago
2023-05-21 12:15am
v1
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2 years ago
v2

2023-05-21 12:17am

Generated on May 20, 2023
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1335 Total Images

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Dataset Split

Train Set 94%
1260Images
Valid Set 4%
50Images
Test Set 2%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Noise: Up to 5% of pixels

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