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I have a raster (.jpg) which I have segmented utilising Segment Mean Shift to smooth out JPEG artefact (aim is to classify it as accurately as possible for conversion into vectors).

START .JPG enter image description here Input parameters (different to default):

Spectral Detail: 13

Spatial Detail : 15

Minimum Segment Size In Pixels: 20

Then applying the Train Support Vector Machine Classifier (svmc) with various parameters and rasters (I think I have exhausted the possibilities), I get as far as: Warning and Error Received

Are there specific limitations or input parameters that I have missed ?

In addition, when applying a Maximum Likelihood Classification I get this result:

INPUT: Segmented Raster with Classes

RESULT: Classified Raster

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