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2024-09-15 9:01pm
v9
·
3 months ago
2024-04-15 6:01pm
v8
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8 months ago
2024-04-07 5:29pm
v7
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8 months ago
2024-03-17 5:43pm
v6
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9 months ago
2024-02-04 3:37pm
v5
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a year ago
2024-01-29 6:32pm
v4
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a year ago
2024-01-28 4:39pm
v3
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a year ago
2024-01-28 4:33pm
v2
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a year ago
2023-11-30 6:46pm
v1
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a year ago
v9

2024-09-15 9:01pm

Generated on Sep 15, 2024
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2712 Total Images

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Dataset Split

Train Set 88%
2400Images
Valid Set 7%
203Images
Test Set 4%
109Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.71% of pixels

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