Dataset Versions

Versions
2022-11-19 12:36am
v15
·
2 years ago
2022-11-17 11:53pm
v14
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2 years ago
2022-11-12 3:07pm
v13
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2 years ago
2022-11-07 3:53pm
v12
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2 years ago
2022-11-07 3:50pm
v11
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2 years ago
2022-11-07 3:47pm
v10
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2 years ago
2022-11-07 3:46pm
v9
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2 years ago
2022-11-07 3:45pm
v8
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2 years ago
2022-11-07 3:42pm
v7
·
2 years ago
2022-11-04 12:27am
v6
·
2 years ago
2022-11-03 11:21pm
v5
·
2 years ago
2022-11-03 11:25am
v4
·
2 years ago
v15

2022-11-19 12:36am

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, 50% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical

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