Dataset Versions

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Versions
2023-04-07 5:20pm
v9
·
2 years ago
2023-04-07 3:30pm
v7
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2 years ago
2023-04-06 8:32pm
v6
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2 years ago
2023-03-31 8:22pm
v5
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2 years ago
2023-03-28 9:30am
v4
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2 years ago
2023-03-27 5:23pm
v3
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2 years ago
2023-03-27 10:01am
v2
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2 years ago
2023-03-25 10:47am
v1
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2 years ago
v6

2023-04-06 8:32pm

Generated on Apr 6, 2023
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444 Total Images

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Dataset Split

Train Set 93%
414Images
Valid Set 5%
20Images
Test Set 2%
10Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Grayscale: Apply to 60% of images
Saturation: Between -55% and +55%
Exposure: Between -20% and +20%
Mosaic: Applied

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