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    Models/Object Detection/vineetsarpal/yolov11n-car-damage
    Object Detectionultralyticsapache-2.0

    yolov11n-car-damage

    by vineetsarpal

    Identifier
    Model ID
    vineetsarpal/yolov11n-car-damage

    Tags

    ultralyticscomputer-visionobject-detectioncar-damageyolov11base_model:Ultralytics/YOLO11base_model:finetune:Ultralytics/YOLO11license:apache-2.0model-indexregion:us

    Use yolov11n-car-damage 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, yolov11n-car-damage 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.