Dataset Versions

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Versions
2023-08-18 7:40am
v6
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a year ago
2023-08-07 1:57pm
v5
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a year ago
2023-08-07 1:28pm
v4
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a year ago
2023-08-07 9:53am
v3
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a year ago
2023-08-05 9:10pm
v2
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a year ago
2023-08-05 10:37am
v1
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a year ago
v5

2023-08-07 1:57pm

Generated on Aug 7, 2023
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Dataset Split

Train Set 60%
640Images
Valid Set 27%
288Images
Test Set 13%
137Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°

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