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    Models/Object Detection/RoyYang0714/3D-MOOD

    3D-MOOD

    by RoyYang0714

    Identifier
    Model ID
    RoyYang0714/3D-MOOD

    Tags

    PyTorchobject-detectiondataset:RoyYang0714/3D-MOODarxiv:2507.23567license:apache-2.0region:us

    Use 3D-MOOD 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, 3D-MOOD runs as a managed extractor inside a processing pipeline. Point a bucket of object detection 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.