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2024-05-03 10:28pm
v9
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8 months ago
2024-05-03 10:17pm
v8
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8 months ago
2024-05-01 3:28pm
v7
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8 months ago
2024-05-01 3:07pm
v6
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8 months ago
2024-04-09 4:16pm
v5
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9 months ago
2024-04-08 2:51pm
v4
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9 months ago
2024-04-08 1:19pm
v3
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9 months ago
2024-04-06 6:18pm
v2
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9 months ago
2024-04-06 6:13pm
v1
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9 months ago
v7

2024-05-01 3:28pm

Generated on May 1, 2024
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830 Total Images

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Dataset Split

Train Set 87%
726Images
Valid Set 9%
71Images
Test Set 4%
33Images

Preprocessing

Static Crop: 3-97% Horizontal Region, 11-88% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 65% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -30% and +30%
Brightness: Between -31% and +31%
Blur: Up to 1.5px
Noise: Up to 0.33% of pixels

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