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    Models/Image Segmentation/shehan97/mobilevitv2-1.0-voc-deeplabv3
    Image Segmentationtransformersother

    mobilevitv2-1.0-voc-deeplabv3

    by shehan97

    Identifier
    Model ID
    shehan97/mobilevitv2-1.0-voc-deeplabv3

    Tags

    transformerspytorchmobilevitv2visionimage-segmentationarxiv:2206.02680arxiv:1706.05587license:otherendpoints_compatibledeploy:azureregion:us

    Use mobilevitv2-1.0-voc-deeplabv3 on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, mobilevitv2-1.0-voc-deeplabv3 runs as a managed extractor inside a processing pipeline. Point a bucket of image segmentation data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.