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    Models/Object Detection/Perception365/VehicleNet-Y26s
    Object Detectionultralyticsagpl-3.0

    VehicleNet-Y26s

    by Perception365

    Identifier
    Model ID
    Perception365/VehicleNet-Y26s

    Tags

    ultralyticsonnxindian-trafficinference-efficiencymulti-vehicle-detectionedge-computingobject-detectionendataset:iisc-aim/UVH-26base_model:Ultralytics/YOLO26base_model:quantized:Ultralytics/YOLO26license:agpl-3.0region:us

    Use VehicleNet-Y26s 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, VehicleNet-Y26s 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.