Dataset Versions

Versions
2024-08-29 6:11pm
v5
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4 months ago
2024-08-17 7:45pm
v4
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4 months ago
2024-08-17 4:32pm
v3
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4 months ago
2024-08-17 4:31pm
v2
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4 months ago
2024-08-17 4:30pm
v1
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4 months ago
v3

2024-08-17 4:32pm

Generated on Aug 17, 2024
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435 Total Images

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Dataset Split

Train Set 88%
381Images
Valid Set 8%
36Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -24° and +24°
Exposure: Between -14% and +14%
Blur: Up to 3.3px
Noise: Up to 1.01% of pixels

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