Dataset Versions

Versions
2024-03-25 1:03am
v9
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8 months ago
2024-03-25 12:02am
v8
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8 months ago
2024-03-24 10:59pm
v7
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8 months ago
2024-03-24 8:42pm
v6
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8 months ago
2024-03-24 8:37pm
v5
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8 months ago
2024-03-24 1:00pm
v4
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8 months ago
2024-03-22 3:45pm
v3
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8 months ago
2024-03-22 3:28pm
v2
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8 months ago
2024-03-22 2:48pm
v1
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8 months ago
v1

2024-03-22 2:48pm

Generated on Mar 22, 2024
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19467 Total Images

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Dataset Split

Train Set 92%
17930Images
Valid Set 5%
1025Images
Test Set 3%
512Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 3% of images to contain annotations.

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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