Dataset Versions

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Versions
2024-06-09 6:47pm
v15
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5 months ago
2024-06-07 5:20pm
v14
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6 months ago
2024-06-07 11:58am
v13
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6 months ago
2024-06-05 3:27pm
v12
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6 months ago
2024-06-05 3:26pm
v11
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6 months ago
none
v10
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6 months ago
2024-05-31 1:07pm
v9
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6 months ago
2024-05-30 5:14pm
v8
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6 months ago
2024-05-30 1:03pm
v7
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6 months ago
2024-05-30 11:10am
v6
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6 months ago
2024-05-29 4:39pm
v5
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6 months ago
2024-05-29 1:51am
v4
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6 months ago
2024-05-29 12:51am
v3
·
6 months ago
2024-05-28 7:51pm
v2
·
6 months ago
2024-05-28 4:27pm
v1
·
6 months ago
v11

2024-06-05 3:26pm

Generated on Jun 5, 2024
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1953 Total Images

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Dataset Split

Train Set 92%
1803Images
Valid Set 4%
76Images
Test Set 4%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 100% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels

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