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2023-02-20 1:35pm
v5
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2 years ago
2023-02-20 1:27pm
v4
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2 years ago
2023-02-20 1:19pm
v3
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2 years ago
2023-02-20 1:18pm
v2
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2 years ago
2023-02-20 1:17pm
v1
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2 years ago
v5

2023-02-20 1:35pm

Generated on Feb 20, 2023
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Dataset Split

Train Set 88%
516Images
Valid Set 8%
48Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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