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2024-11-21 1:11am
v45
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20 hours ago
2024-11-19 6:30pm
v40
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2 days ago
2024-11-19 6:22pm
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2 days ago
2024-11-07 11:12pm
v37
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14 days ago
2024-11-07 11:04pm
v36
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14 days ago
2024-10-22 1:13am
v33
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a month ago
2024-10-22 12:48am
v32
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a month ago
2024-10-22 12:27am
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a month ago
2024-10-22 12:15am
v30
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a month ago
2024-10-22 12:12am
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2024-10-22 12:02am
v25
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a month ago
2024-10-21 2:44pm
v24
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a month ago
2024-10-21 1:36pm
v21
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a month ago
2024-10-19 5:02pm
v18
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a month ago
v21

2024-10-21 1:36pm

Generated on Oct 21, 2024
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1055 Total Images

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Dataset Split

Train Set 87%
919Images
Valid Set 8%
88Images
Test Set 5%
48Images

Preprocessing

Auto-Orient: Applied
Static Crop: 5-95% Horizontal Region, 15-85% Vertical Region
Grayscale: Applied
Filter Null: Require at least 66% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -72% and +72%
Exposure: Between -36% and +36%
Blur: Up to 3.9px
Noise: Up to 0.18% of pixels

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