Dataset Versions

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Versions
2023-12-28 4:03pm
v7
·
a year ago
2023-12-28 3:55pm
v6
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a year ago
2023-12-28 3:50pm
v5
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a year ago
2023-10-23 9:24pm
v4
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a year ago
2023-10-21 5:51pm
v3
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a year ago
2023-09-19 4:42pm
v2
·
a year ago
2023-09-04 10:53am
v1
·
a year ago
v5

2023-12-28 3:50pm

Generated on Dec 28, 2023
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972 Total Images

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Dataset Split

Train Set 100%
972Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal

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