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InnoAML

Semantic Segmentation

InnoAML Image Dataset

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Versions
2023-07-20 5:43pm
v8
Jul 20, 2023
2023-07-20 5:42pm
v7
Jul 20, 2023
2023-07-20 5:32pm
v6
Jul 20, 2023
2023-07-20 5:32pm
v5
Jul 20, 2023
2023-07-20 5:32pm
v4
Jul 20, 2023
2023-07-20 5:32pm
v3
Jul 20, 2023
2023-07-20 5:32pm
v2
Jul 20, 2023
2023-07-20 5:31pm
v1
Jul 20, 2023
v8

2023-07-20 5:43pm

Generated on Jul 20, 2023
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180 Total Images

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Dataset Split

Train Set 82%
148Images
Valid Set 12%
21Images
Test Set 6%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 100x100

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Cutout: 3 boxes with 10% size each