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2023-12-11 4:50pm
v8
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a year ago
2023-12-11 4:46pm
v7
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a year ago
2023-12-07 11:29am
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2023-12-07 9:13am
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2023-12-06 3:58pm
v4
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2023-12-04 4:21pm
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2023-12-04 3:04pm
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2023-12-04 3:02pm
v1
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a year ago
v1

2023-12-04 3:02pm

Generated on Dec 4, 2023
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2817 Total Images

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Dataset Split

Train Set 93%
2619Images
Valid Set 5%
144Images
Test Set 2%
54Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -40% and +40%
Blur: Up to 2.5px

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