Dataset Versions

Versions
2022-11-19 12:38am
v14
·
2 years ago
2022-11-17 11:51pm
v13
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2 years ago
2022-11-12 7:01pm
v12
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2 years ago
2022-11-06 9:36pm
v11
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2 years ago
2022-11-05 11:17pm
v10
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2 years ago
2022-11-05 11:14pm
v9
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2 years ago
2022-11-05 11:11pm
v8
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2 years ago
2022-11-05 11:10pm
v7
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2 years ago
2022-11-05 11:08pm
v6
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2 years ago
2022-11-04 12:30am
v5
·
2 years ago
2022-11-03 11:18pm
v4
·
2 years ago
2022-11-03 11:29am
v3
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2 years ago
v14

2022-11-19 12:38am

Generated on Nov 18, 2022
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1200 Total Images

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Dataset Split

Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 51% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical

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