Dataset Versions

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2024-01-29 9:11am
v12
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10 months ago
2024-01-25 1:46pm
v11
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10 months ago
2024-01-23 3:00pm
v8
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10 months ago
2024-01-16 3:35pm
v7
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10 months ago
2024-01-16 3:23pm
v6
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10 months ago
2024-01-12 1:07pm
v5
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a year ago
2024-01-12 12:04pm
v4
·
a year ago
v5

2024-01-12 1:07pm

Generated on Jan 12, 2024
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261 Total Images

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Dataset Split

Train Set 98%
255Images
Valid Set 1%
3Images
Test Set 1%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -27% and +27%
Brightness: Between -23% and +23%

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