Dataset Versions

Versions
2024-08-19 12:05pm
v17
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5 months ago
2024-08-14 3:48pm
v16
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5 months ago
2024-08-14 3:00pm
v15
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5 months ago
2024-08-14 1:51pm
v14
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5 months ago
2024-08-02 9:56am
v13
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5 months ago
2024-08-02 9:30am
v12
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5 months ago
2024-07-11 3:16pm
v11
·
6 months ago
2024-07-11 3:15pm
v10
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6 months ago
2024-07-11 12:23pm
v9
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6 months ago
2024-07-11 12:20pm
v8
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6 months ago
2024-07-09 8:07am
v7
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6 months ago
2024-07-05 9:02am
v5
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6 months ago
2024-07-05 8:57am
v4
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6 months ago
2024-07-05 8:45am
v3
·
6 months ago
2024-06-27 2:20pm
v2
·
6 months ago
2024-06-27 1:22pm
v1
·
6 months ago
v2

2024-06-27 2:20pm

Generated on Jun 27, 2024
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Dataset Split

Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Blur: Up to 9.9px
Cutout: 25 boxes with 10% size each

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