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    Models/Object Detection/kiselyovd/citysample-vehicle-keypoints-24pt
    Object Detectionultralyticsmit

    citysample-vehicle-keypoints-24pt

    by kiselyovd

    Identifier
    Model ID
    kiselyovd/citysample-vehicle-keypoints-24pt

    Tags

    ultralyticsyoloyolo-poseposekeypoint-detectionobject-detectionvehiclevehicle-keypointscarfusionsyntheticunreal-engine-5city-samplesim-to-realdataset:kiselyovd/citysample-vehicle-keypoints-24ptbase_model:Ultralytics/YOLO26base_model:finetune:Ultralytics/YOLO26license:mitmodel-indexregion:us

    Use citysample-vehicle-keypoints-24pt 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, citysample-vehicle-keypoints-24pt 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.