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How to classify images with AI: Difference between revisions

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<noinclude>{{ApplicableFor
|MPUs list=STM32MP13x, STM32MP15x
|MPUs checklist=STM32MP13x,STM32MP15x
}}</noinclude>
{| class="st-table" style="border-style: hidden;"
{| class="st-table" style="border-style: hidden;"
| Refer to the [[X-LINUX-AI-CV OpenSTLinux expansion package#Image classification application|image classification application]] to find out how to classify images with artificial intelligence and computer vision frameworks, on STM32 MPU boards.
| Refer to the [[X-LINUX-AI application samples zoo|image classification application samples]] to find out how to classify images with artificial intelligence and computer vision frameworks, on STM32 MPU boards.
| style="border-style: hidden;" | [[File:Artificial_intelligence.png |150px|link=|How to classify images with AI]]
| style="border-style: hidden;" | [[File:Artificial_intelligence.png |150px|link=|How to classify images with AI]]
|}
|}


<noinclude>
<noinclude>
{{PublicationRequestId | Auto | 2019-12-12 | Approval inherited from the “X-LINUX-AI-CV OpenSTLinux expansion package” article, and based on the “How to model” article.}}
{{PublicationRequestId | Auto | 2019-12-12 | Approval inherited from the “X-LINUX-AI OpenSTLinux expansion package” article, and based on the “How to model” article.}}
[[category:How to run use cases with expansions]]
[[category:How to run use cases with expansions]]
</noinclude>
</noinclude>

Latest revision as of 17:55, 12 October 2021

Applicable for STM32MP13x lines, STM32MP15x lines

Refer to the image classification application samples to find out how to classify images with artificial intelligence and computer vision frameworks, on STM32 MPU boards. How to classify images with AI