Dataset Versions

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Versions
2023-07-19 9:00am
v16
·
a year ago
2023-07-19 7:42am
v14
·
a year ago
2023-07-18 6:22pm
v13
·
a year ago
2023-07-18 5:49pm
v12
·
a year ago
2023-07-18 2:29pm
v11
·
a year ago
2023-07-18 1:32pm
v8
·
a year ago
2023-07-14 1:36pm
v3
·
a year ago
2023-07-14 9:38am
v1
·
a year ago
v3

2023-07-14 1:36pm

Generated on Jul 14, 2023
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5046 Total Images

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Dataset Split

Train Set 88%
4416Images
Valid Set 8%
418Images
Test Set 4%
212Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between -50% and +50%
Blur: Up to 2px
Noise: Up to 10% of pixels

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