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    Models/Image Segmentation/EPFL-ECEO/segformer-b5-finetuned-coralscapesv2-1024-1024-95_class
    Image Segmentationtransformersapache-2.0

    segformer-b5-finetuned-coralscapesv2-1024-1024-95_class

    by EPFL-ECEO

    Identifier
    Model ID
    EPFL-ECEO/segformer-b5-finetuned-coralscapesv2-1024-1024-95_class

    Deploy segformer-b5-finetuned-coralscapesv2-1024-1024-95_class

    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

    transformerssafetensorssegformervisionimage-segmentationsemantic-segmentationcoral-reefecologycoralscapesdataset:josauder/coralscapesV2license:apache-2.0endpoints_compatibleregion:us

    Use segformer-b5-finetuned-coralscapesv2-1024-1024-95_class on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, segformer-b5-finetuned-coralscapesv2-1024-1024-95_class 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.