Multi Classification
Label for Multi-Class Image Classification

Overview

A Multi Classification schema element creates data as any number of the inputed string options. If no selection is made, or a default is not set, the "selected" value will be an empty array.
Multi Classification labels enable multi-label image classification, whereas Classification enables single-label image classification.
Architectures such as InceptionV3 and MobileNet can be converted to support multiple selections. Common use cases include attribute identification.
Classifications of "Van Gogh, Painting, Fine Art, Post-Impressionism" predicted

Create a Multi Classification Label

Plainsight does not support model training for this label type. This label type can be exported in Plainsight format or CreateML Classifier for training outside of Plainsight.
    1.
    Navigate to the "Label Definitions" sub-tab of your project
    2.
    Type label name in the "Name" field
    3.
    Choose Multi Classification from "Type" dropdown
    4.
    Type the name of the class and press "Enter"
    5.
    Repeat above to create multiple classes
    6.
    Optional: Choose default class labels
    7.
    Click "Save" button
Once you have added a Multi Classification label type, you can use it to label your images:

Data Format:

A Multi Classification schema element creates data as any number of the inputed string options. If no selection is made, or a default is not set, the "selected" value will be an empty array.
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{
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"type":"multiSelect"
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"data":{
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"selected":[
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0:"Van Gogh"
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1:"Painting"
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2:"Fine Art"
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3:"Post-Impressionism"
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]
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}
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}
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Last modified 2mo ago