Dataset Versions

Versions
2023-02-24 9:09pm
v20
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2 years ago
2023-02-24 9:09pm
v19
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2 years ago
2023-02-24 9:08pm
v18
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2 years ago
2023-02-24 9:06pm
v17
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2 years ago
2023-02-24 9:06pm
v16
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2 years ago
2023-02-24 9:04pm
v15
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2 years ago
2023-02-24 9:03pm
v14
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2 years ago
2023-02-24 9:02pm
v13
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2 years ago
2023-02-24 8:42pm
v12
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2 years ago
2023-02-24 8:40pm
v11
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2 years ago
2023-02-24 8:38pm
v10
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2 years ago
2023-02-24 8:36pm
v9
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2 years ago
2023-02-24 8:34pm
v8
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2 years ago
2023-02-24 8:33pm
v7
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2 years ago
2023-02-24 8:30pm
v6
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2 years ago
2023-02-24 8:27pm
v5
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2 years ago
2023-02-24 8:25pm
v4
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2 years ago
2023-02-24 8:21pm
v3
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2 years ago
2023-02-24 8:19pm
v2
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2 years ago
2023-02-24 8:02pm
v1
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2 years ago
v9

2023-02-24 8:36pm

Generated on Feb 24, 2023
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180 Total Images

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Dataset Split

Train Set 97%
174Images
Valid Set 3%
6Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Grayscale: Apply to 10% of images
Hue: Between -45° and +45°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Cutout: 3 boxes with 15% size each

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