Dataset Versions

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Versions
2023-11-27 2:17pm
v6
·
a year ago
2023-11-01 5:18pm
v5
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a year ago
2023-11-01 2:52pm
v4
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a year ago
2023-11-01 2:50pm
v3
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a year ago
2023-10-30 12:09pm
v2
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a year ago
2023-10-30 5:33am
v1
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a year ago
v3

2023-11-01 2:50pm

Generated on Nov 1, 2023
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Dataset Split

Train Set 87%
4824Images
Valid Set 9%
497Images
Test Set 5%
252Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x480
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -23° and +23°
Blur: Up to 2.25px

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