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    Models/Image Segmentation/Makadi86/BiRefNet

    BiRefNet

    by Makadi86

    Identifier
    Model ID
    Makadi86/BiRefNet

    Tags

    birefnetsafetensorsimage-segmentationbackground-removalmask-generationDichotomous Image SegmentationCamouflaged Object DetectionSalient Object Detectionpytorch_model_hub_mixinmodel_hub_mixintransformerscustom_codearxiv:2401.03407license:mitendpoints_compatibleregion:us

    Use BiRefNet 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, BiRefNet 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.