Dataset Versions

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Versions
2023-07-29 6:32pm
v20
·
a year ago
2023-07-24 7:30pm
v19
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a year ago
2023-07-24 7:26pm
v18
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a year ago
2023-07-24 3:43pm
v17
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a year ago
2023-07-24 3:39pm
v16
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a year ago
2023-07-23 1:14pm
v15
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a year ago
2023-07-21 12:31pm
v14
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a year ago
2023-07-20 11:32am
v13
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a year ago
2023-07-20 11:25am
v12
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a year ago
2023-07-18 8:35pm
v11
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a year ago
2023-07-18 10:08am
v10
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a year ago
2023-07-17 9:20pm
v9
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a year ago
2023-07-17 8:45pm
v8
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a year ago
2023-06-06 9:31am
v7
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a year ago
2023-06-06 8:31am
v6
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a year ago
2023-06-04 6:47pm
v5
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a year ago
2023-06-04 1:21pm
v4
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a year ago
2023-06-04 12:49pm
v3
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a year ago
2023-06-04 12:23pm
v2
·
a year ago
2023-06-01 6:23pm
v1
·
a year ago
v11

2023-07-18 8:35pm

Generated on Jul 18, 2023
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1200 Total Images

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Dataset Split

Train Set 88%
1050Images
Valid Set 8%
98Images
Test Set 4%
52Images

Preprocessing

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -29% and +29%
Blur: Up to 2.75px
Noise: Up to 4% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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