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2023-09-13 1:47pm
v5
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a year ago
2023-09-12 4:32pm
v4
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a year ago
2023-09-12 11:35am
v3
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a year ago
2023-09-12 12:30am
v2
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a year ago
v2

2023-09-12 12:30am

Generated on Sep 11, 2023
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Dataset Split

Train Set 93%
699Images
Valid Set 4%
28Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Blur: Up to 2.5px

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