Dataset Versions

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Versions
2023-06-20 5:12pm
v14
·
2 years ago
2023-05-10 3:23pm
v13
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2 years ago
2023-05-08 2:57pm
v12
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2 years ago
2023-04-18 12:00pm
v11
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2 years ago
2023-04-18 10:09am
v10
·
2 years ago
2023-04-16 7:12pm
v9
·
2 years ago
2023-04-16 7:11pm
v8
·
2 years ago
2023-04-16 7:11pm
v7
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2 years ago
2023-04-16 7:11pm
v6
·
2 years ago
2023-04-16 7:11pm
v5
·
2 years ago
2023-04-15 11:33am
v4
·
2 years ago
2023-04-13 2:02pm
v3
·
2 years ago
2023-03-30 4:22pm
v2
·
2 years ago
2023-03-30 1:09pm
v1
·
2 years ago
v9

2023-04-16 7:12pm

Generated on Apr 16, 2023
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380 Total Images

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Dataset Split

Train Set 85%
324Images
Valid Set 9%
35Images
Test Set 6%
21Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 1% of pixels

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