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    Models/Image Segmentation/EVER-Z/torchange_example_changeos_swint_on_xview2_best42k
    Image Segmentationtorchangeapache-2.0

    torchange_example_changeos_swint_on_xview2_best42k

    by EVER-Z

    Identifier
    Model ID
    EVER-Z/torchange_example_changeos_swint_on_xview2_best42k

    Deploy torchange_example_changeos_swint_on_xview2_best42k

    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

    torchangesafetensorschange-detectionremote-sensingbuilding-damage-assessmentxview2xbdchangeosimage-segmentationdataset:EVER-Z/torchange_xView2arxiv:1911.09296license:apache-2.0region:us

    Use torchange_example_changeos_swint_on_xview2_best42k 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, torchange_example_changeos_swint_on_xview2_best42k 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.