Dataset Versions

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Versions
2023-07-02 7:40pm
v5
·
a year ago
2023-06-29 10:45pm
v4
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a year ago
2023-06-15 11:51pm
v3
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a year ago
2023-06-15 11:46pm
v2
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a year ago
2023-06-15 11:41pm
v1
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a year ago
v3

2023-06-15 11:51pm

Generated on Jun 15, 2023
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Dataset Split

Train Set 87%
396Images
Valid Set 8%
37Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Saturation: Between -48% and +48%
Blur: Up to 2px
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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