Dataset Versions

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2024-10-03 10:32am
v7
·
2 months ago
2024-08-25 9:00pm
v6
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3 months ago
2024-08-24 7:47pm
v5
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3 months ago
2024-08-22 4:49pm
v4
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3 months ago
2024-08-22 8:39am
v3
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3 months ago
2024-08-20 5:41pm
v2
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3 months ago
2024-08-19 4:23pm
v1
·
3 months ago
v3

2024-08-22 8:39am

Generated on Aug 22, 2024
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2627 Total Images

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Dataset Split

Train Set 88%
2301Images
Valid Set 8%
217Images
Test Set 4%
109Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 1.2px
Noise: Up to 1.6% of pixels

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