Dataset Versions

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Versions
2023-06-12 10:44pm
v6
·
a year ago
2023-06-12 9:54pm
v5
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a year ago
2023-06-12 12:49pm
v4
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a year ago
2023-06-11 11:01pm
v3
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a year ago
2023-06-11 10:11pm
v2
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a year ago
v4

2023-06-12 12:49pm

Generated on Jun 12, 2023
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Dataset Split

Train Set 88%
2235Images
Valid Set 8%
208Images
Test Set 4%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -10% and +10%
Exposure: Between -15% and +15%
Noise: Up to 5% of pixels

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