Dataset Versions

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Versions
2023-11-24 10:00am
v7
·
a year ago
2023-11-20 8:50am
v6
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a year ago
2023-11-19 3:23pm
v5
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a year ago
2023-11-17 2:23pm
v4
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a year ago
2023-11-14 5:51pm
v3
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a year ago
2023-11-10 2:40pm
v2
·
a year ago
2023-11-07 9:34am
v1
·
a year ago
v2

2023-11-10 2:40pm

Generated on Nov 10, 2023
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1670 Total Images

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Dataset Split

Train Set 95%
1584Images
Valid Set 4%
61Images
Test Set 1%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied
Bounding Box: Noise: Up to 5% of pixels

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