Dataset Versions

Versions
2024-07-26 9:27am
v6
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4 months ago
2024-07-26 9:25am
v5
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4 months ago
2024-07-26 9:06am
v4
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4 months ago
2024-07-26 8:44am
v3
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4 months ago
2024-07-26 8:36am
v2
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4 months ago
2024-07-26 8:33am
v1
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4 months ago
v2

2024-07-26 8:36am

Generated on Jul 26, 2024
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779 Total Images

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Dataset Split

Train Set 87%
681Images
Valid Set 8%
65Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -24° and +24°
Brightness: Between -24% and +24%
Blur: Up to 2.5px
Noise: Up to 1.72% of pixels

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