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    Models/Object Detection/HugoHE/yolov10-bdd-vanilla
    Object Detectionultralyticsmit

    yolov10-bdd-vanilla

    by HugoHE

    Identifier
    Model ID
    HugoHE/yolov10-bdd-vanilla

    Tags

    ultralyticsyolov10object-detectioncomputer-visionpytorchbdd100kautonomous-drivingBDD 100Kfrom-scratchdataset:bdd100karxiv:2405.14458license:mitmodel-indexregion:us

    Use yolov10-bdd-vanilla on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, yolov10-bdd-vanilla 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.