Dataset Versions

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Versions
2023-05-02 12:22am
v7
·
2 years ago
2023-04-22 9:46am
v6
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2 years ago
2023-04-19 2:06pm
v5
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2 years ago
2023-04-18 5:26pm
v4
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2 years ago
2023-04-05 6:18pm
v3
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2 years ago
2023-04-04 11:47pm
v2
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2 years ago
2023-04-04 11:43pm
v1
·
2 years ago
v2

2023-04-04 11:47pm

Generated on Apr 5, 2023
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500 Total Images

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Dataset Split

Train Set 90%
450Images
Valid Set 6%
30Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x192
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -49° and +49°
Noise: Up to 5% of pixels

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