Dataset Versions

Versions
2024-02-19 8:59pm
v12
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10 months ago
augmentation
v11
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10 months ago
2024-02-19 5:36pm
v10
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10 months ago
2024-02-19 5:36pm
v9
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10 months ago
2024-02-19 5:36pm
v8
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10 months ago
2024-02-19 5:36pm
v7
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10 months ago
2024-02-19 5:36pm
v6
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10 months ago
2024-02-19 5:36pm
v5
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10 months ago
2024-02-19 5:36pm
v4
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10 months ago
2024-02-19 5:36pm
v3
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10 months ago
2024-02-19 5:36pm
v2
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10 months ago
2024-02-19 5:35pm
v1
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10 months ago
v12

2024-02-19 8:59pm

Generated on Feb 19, 2024
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1250 Total Images

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Dataset Split

Train Set 90%
1125Images
Valid Set 10%
125Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -22° and +22°
Saturation: Between -29% and +29%
Brightness: Between -31% and +31%
Blur: Up to 2.8px
Noise: Up to 0.65% of pixels

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