Dataset Versions

Versions
2023-06-05 5:23pm
v23
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2 years ago
2023-05-18 8:19pm
v22
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2 years ago
2023-03-16 6:51pm
v21
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2 years ago
2023-03-16 3:55pm
v20
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2 years ago
2023-03-16 1:02pm
v19
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2 years ago
2023-03-14 8:56pm
v18
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2 years ago
2023-03-14 3:41pm
v17
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2 years ago
2023-03-14 2:38pm
v16
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2 years ago
2023-03-14 12:13pm
v15
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2 years ago
2023-03-06 1:41pm
v14
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2 years ago
2023-03-06 1:10pm
v13
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2 years ago
2023-03-06 12:25pm
v12
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2 years ago
2023-03-06 10:36am
v11
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2 years ago
2023-01-17 6:52pm
v10
·
2 years ago
2023-01-17 6:43pm
v9
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2 years ago
2023-01-17 6:05pm
v6
·
2 years ago
v9

2023-01-17 6:43pm

Generated on Jan 17, 2023
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40 Total Images

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Dataset Split

Train Set 90%
36Images
Valid Set 8%
3Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Cutout: 3 boxes with 16% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -11° and +11°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 3.25px
Bounding Box: Noise: Up to 5% of pixels

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