Dataset Versions

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2024-01-04 2:28am
v13
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a year ago
2024-01-04 2:27am
v12
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a year ago
2024-01-03 3:18pm
v11
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a year ago
2024-01-03 3:15pm
v10
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a year ago
2024-01-03 2:57pm
v9
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a year ago
2024-01-03 2:53pm
v8
·
a year ago
2024-01-02 3:22am
v7
·
a year ago
2023-12-27 12:00pm
v6
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a year ago
2023-12-23 5:40pm
v5
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a year ago
2023-12-14 10:08am
v4
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a year ago
2023-12-14 9:35am
v3
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a year ago
2023-12-14 4:34am
v2
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a year ago
2023-12-13 11:50pm
v1
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a year ago
v8

2024-01-03 2:53pm

Generated on Jan 3, 2024
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3039 Total Images

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Dataset Split

Train Set 82%
2502Images
Valid Set 12%
359Images
Test Set 6%
178Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Blur: Up to 1px
Noise: Up to 0.5% of pixels

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