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2024-07-18 7:34am
v10
·
4 months ago
2024-07-17 12:02pm
v9
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4 months ago
2024-07-17 12:01pm
v8
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4 months ago
2024-07-15 9:45am
v7
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4 months ago
2024-07-10 3:06pm
v6
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4 months ago
2024-07-10 2:41pm
v5
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4 months ago
2024-07-05 2:47pm
v4
·
5 months ago
2024-07-05 9:54am
v1
·
5 months ago
v8

2024-07-17 12:01pm

Generated on Jul 17, 2024
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585 Total Images

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Dataset Split

Train Set 87%
507Images
Valid Set 9%
50Images
Test Set 5%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 7% Minimum Zoom, 7% Maximum Zoom
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels

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