Dataset Versions

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Versions
2022-11-19 12:34am
v16
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2 years ago
2022-11-17 11:54pm
v15
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2 years ago
2022-11-12 3:04pm
v14
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2 years ago
2022-11-07 8:07pm
v13
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2 years ago
2022-11-07 8:04pm
v12
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2 years ago
2022-11-07 8:02pm
v11
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2 years ago
2022-11-07 8:00pm
v10
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2 years ago
2022-11-07 7:26pm
v9
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2 years ago
2022-11-07 7:26pm
v8
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2 years ago
2022-11-07 7:25pm
v7
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2 years ago
2022-11-04 12:24am
v6
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2 years ago
2022-11-04 12:17am
v5
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2 years ago
2022-11-03 11:14am
v4
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2 years ago
2022-11-01 8:18pm
v3
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2 years ago
2022-10-31 9:52pm
v2
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2 years ago
2022-10-30 10:52pm
v1
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2 years ago
v13

2022-11-07 8:07pm

Generated on Nov 7, 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
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±21° Horizontal, ±20° Vertical
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels

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