Dataset Versions

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Versions
2023-10-23 11:19am
v7
·
a year ago
2023-09-27 5:37pm
v6
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a year ago
2023-09-27 2:52pm
v5
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a year ago
2023-09-27 2:29pm
v4
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a year ago
2023-09-22 2:16pm
v3
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a year ago
2023-09-21 11:00am
v2
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a year ago
2023-09-20 10:28am
v1
·
a year ago
v3

2023-09-22 2:16pm

Generated on Sep 22, 2023
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3050 Total Images

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Dataset Split

Train Set 95%
2889Images
Valid Set 4%
137Images
Test Set 1%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Cutout: 2 boxes with 7% size each

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