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    Models/Image Segmentation/wefttechnologies/BiRefNet2

    BiRefNet2

    by wefttechnologies

    Identifier
    Model ID
    wefttechnologies/BiRefNet2

    Tags

    birefnetsafetensorsbackground-removalmask-generationDichotomous Image SegmentationCamouflaged Object DetectionSalient Object Detectionpytorch_model_hub_mixinmodel_hub_mixinimage-segmentationcustom_codearxiv:2401.03407license:mitregion:us

    Use BiRefNet2 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, BiRefNet2 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.