Dataset Versions

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2023-07-21 3:21pm
v12
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a year ago
2023-07-14 3:20pm
v11
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a year ago
2023-07-14 3:02pm
v10
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a year ago
2023-07-08 3:34pm
v9
·
a year ago
thanksInternet
v8
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a year ago
2023-07-07 4:17pm
v7
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a year ago
2023-06-29 7:18pm
v6
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a year ago
2023-05-30 8:51pm
v5
·
2 years ago
2023-05-29 5:01pm
v4
·
2 years ago
2023-05-28 10:13am
v3
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2 years ago
2023-05-26 10:29pm
v2
·
2 years ago
2023-05-26 9:17pm
v1
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2 years ago
v9

2023-07-08 3:34pm

Generated on Jul 8, 2023
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5105 Total Images

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Dataset Split

Train Set 93%
4746Images
Valid Set 5%
260Images
Test Set 2%
99Images

Preprocessing

Resize: Fit within 640x640
Modify Classes: 2 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 3% of pixels

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