Dataset Versions

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2024-03-28 10:47pm
v8
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8 months ago
2024-02-29 2:50pm
v7
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9 months ago
2024-01-21 12:06pm
v6
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10 months ago
2024-01-17 3:28pm
v5
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10 months ago
2024-01-11 10:39pm
v4
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10 months ago
2023-12-06 5:50pm
v3
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a year ago
2023-11-27 10:57pm
v2
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a year ago
2023-11-08 12:09am
v1
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a year ago
v5

2024-01-17 3:28pm

Generated on Jan 17, 2024
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2781 Total Images

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Dataset Split

Train Set 82%
2288Images
Valid Set 12%
327Images
Test Set 6%
166Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Noise: Up to 1.8% of pixels

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