Dataset Versions

Versions
2024-11-25 12:09am
v5
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a month ago
2024-11-24 1:08am
v4
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a month ago
2024-11-23 8:05pm
v3
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a month ago
2024-11-23 8:02pm
v2
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a month ago
2024-11-23 8:00pm
v1
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a month ago
v2

2024-11-23 8:02pm

Generated on Nov 24, 2024
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4814 Total Images

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Dataset Split

Train Set 87%
4212Images
Valid Set 8%
402Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -24° and +24°
Blur: Up to 2.5px

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