Dataset Versions

Versions
2024-06-23 2:05pm
v9
·
6 months ago
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v8
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6 months ago
2024-06-22 10:06am
v7
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6 months ago
2024-06-22 9:02am
v6
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6 months ago
2024-06-22 8:38am
v5
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6 months ago
2024-06-22 7:41am
v4
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6 months ago
2024-06-22 7:34am
v3
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6 months ago
2024-06-22 7:00am
v2
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6 months ago
testing
v1
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6 months ago
v1

testing

Generated on Jun 21, 2024
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76 Total Images

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Dataset Split

Train Set 91%
69Images
Valid Set 7%
5Images
Test Set 3%
2Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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