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    Models/Image Segmentation/ZhengPeng7/BiRefNet_lite

    BiRefNet_lite

    by ZhengPeng7

    Identifier
    Model ID
    ZhengPeng7/BiRefNet_lite

    Deploy BiRefNet_lite

    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

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

    Use BiRefNet_lite 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_lite 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.