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    Models/Image Segmentation/tue-mps/cityscapes_semantic_eomt_large_1024
    Image Segmentationtransformersmit

    cityscapes_semantic_eomt_large_1024

    by tue-mps

    Identifier
    Model ID
    tue-mps/cityscapes_semantic_eomt_large_1024

    Tags

    transformerspytorchsafetensorseomtvisionimage-segmentationarxiv:2503.19108license:mitendpoints_compatibleregion:us

    Use cityscapes_semantic_eomt_large_1024 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, cityscapes_semantic_eomt_large_1024 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.