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    Models/Object Detection/TanTan2025/archivision-yolo
    Object Detectionultralyticsmit

    archivision-yolo

    by TanTan2025

    Identifier
    Model ID
    TanTan2025/archivision-yolo

    Tags

    ultralyticsyoloobject-detectioninstance-segmentationarchitecturecomputer-visionlicense:mitregion:us

    Use archivision-yolo 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, archivision-yolo 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.