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Versions
2024-05-08 6:14pm
v3
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8 months ago
2024-05-06 12:10pm
v2
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8 months ago
2024-05-03 2:00pm
v1
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8 months ago
v2

2024-05-06 12:10pm

Generated on May 6, 2024
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Dataset Split

Train Set 88%
483Images
Valid Set 7%
41Images
Test Set 4%
23Images

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, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -16% and +16%
Brightness: Between -15% and +15%

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