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2024-06-23 11:17am
v5
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5 months ago
2024-06-23 8:23am
v4
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2024-06-23 6:55am
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2024-06-23 5:12am
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2024-06-23 4:48am
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v1

2024-06-23 4:48am

Generated on Jun 23, 2024
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7200 Total Images

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Dataset Split

Train Set 88%
6300Images
Valid Set 8%
600Images
Test Set 4%
300Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°

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