Dataset Versions

Versions
2022-04-01 7:56pm
v7
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3 years ago
2022-04-01 7:33pm
v6
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3 years ago
2022-04-01 9:33am
v5
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3 years ago
2022-04-01 9:29am
v4
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3 years ago
2022-03-31 9:25am
v3
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3 years ago
2022-03-31 9:02am
v2
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3 years ago
2022-03-30 8:46pm
v1
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3 years ago
v4

2022-04-01 9:29am

Generated on Apr 1, 2022
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14036 Total Images

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Dataset Split

Train Set 83%
11590Images
Valid Set 12%
1648Images
Test Set 6%
798Images

Preprocessing

Resize: Fit (black edges) in 96x96
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Noise: Up to 4% of pixels

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