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    Models/Image Segmentation/thang101020/upernet-segmenthomeai

    upernet-segmenthomeai

    by thang101020

    Identifier
    Model ID
    thang101020/upernet-segmenthomeai

    Deploy upernet-segmenthomeai

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    pytorchupernetvisionimage-segmentationenarxiv:1807.10221arxiv:2201.03545license:mitregion:us

    Use upernet-segmenthomeai on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, upernet-segmenthomeai 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.