Dataset Versions

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2024-11-26 1:21am
v10
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a month ago
2024-11-26 12:47am
v9
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a month ago
2024-11-25 9:39pm
v8
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a month ago
2024-11-19 9:20am
v7
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a month ago
2024-11-12 7:01pm
v6
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a month ago
2024-11-12 6:56am
v5
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a month ago
2024-11-12 6:35am
v4
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a month ago
2024-11-12 5:31am
v3
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a month ago
2024-11-12 5:14am
v2
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a month ago
2024-11-12 4:13am
v1
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a month ago
v6

2024-11-12 7:01pm

Generated on Nov 12, 2024
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2153 Total Images

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Dataset Split

Train Set 91%
1950Images
Valid Set 8%
164Images
Test Set 2%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels
Bounding Box: Blur: Up to 2.5px

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