Automec

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Automec Semantic Segmentation

Semantic Segmentation

Automec Semantic Segmentation Image Dataset

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Versions!
2023-05-22 8:34pm
v6
·
a year ago
1827
2023-04-16 8:16pm
v5
·
a year ago
927
2023-04-09 3:42pm
v4
·
a year ago
243
2023-04-09 3:16pm
v3
·
a year ago
159
2023-04-09 2:57pm
v2
·
a year ago
89
2023-04-09 1:58pm
v1
·
a year ago
18
v6

2023-05-22 8:34pm

Generated on May 22, 2023
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1827 Total Images

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Dataset Split

Train Set 100%
1827Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Blur: Up to 5.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels