Dataset Versions

Versions
2024-04-24 2:12pm
v6
·
7 months ago
2024-04-23 6:12pm
v5
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7 months ago
2024-04-23 6:03pm
v4
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7 months ago
2024-04-23 6:03pm
v3
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7 months ago
2024-04-23 6:02pm
v2
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7 months ago
2024-04-23 6:02pm
v1
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7 months ago
v6

2024-04-24 2:12pm

Generated on Apr 24, 2024
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Dataset Split

Train Set 87%
2993Images
Valid Set 9%
300Images
Test Set 4%
150Images

Preprocessing

Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%

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