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data augment

Semantic Segmentation

data augment Image Dataset

Versions
2022-11-02 8:36am
v4
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2 years ago
2022-11-02 5:22am
v3
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2 years ago
2022-11-02 5:10am
v2
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2 years ago
2022-11-02 5:00am
v1
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2 years ago
v3

2022-11-02 5:22am

Generated on Nov 1, 2022
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1000 Total Images

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Dataset Split

Train Set 100%
1000Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px