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    Models/Image Segmentation/RyanQchiqache/mask2former-large-dlr-skyscapes
    Image Segmentationtransformersmit

    mask2former-large-dlr-skyscapes

    by RyanQchiqache

    Identifier
    Model ID
    RyanQchiqache/mask2former-large-dlr-skyscapes

    Tags

    transformerssafetensorsmask2formersemantic-segmentationaerial-imagerysatellite-imageryremote-sensingswin-transformerdlrskyscapespytorchimage-segmentationdataset:dlr-skyscapesarxiv:2007.06102base_model:facebook/mask2former-swin-large-ade-semanticbase_model:finetune:facebook/mask2former-swin-large-ade-semanticlicense:mitendpoints_compatibleregion:us

    Use mask2former-large-dlr-skyscapes 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, mask2former-large-dlr-skyscapes 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.