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    Models/Object Detection/rezzzq/yolo12s-road-damage-rdd2022
    Object Detectionultralyticsmit

    yolo12s-road-damage-rdd2022

    by rezzzq

    Identifier
    Model ID
    rezzzq/yolo12s-road-damage-rdd2022

    Tags

    ultralyticsyolov12object-detectionroad-damagepytorchdataset:RDD2022license:mitendpoints_compatibleregion:us

    Use yolo12s-road-damage-rdd2022 on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, yolo12s-road-damage-rdd2022 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.