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
v3

2023-05-25 10:44pm

Generated on May 25, 2023
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705 Total Images

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Dataset Split

Train Set 96%
675Images
Valid Set 3%
20Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%

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