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    Models/Object Detection/Perception365/VehicleNet-Y26x
    Object Detectionultralyticsagpl-3.0

    VehicleNet-Y26x

    by Perception365

    Identifier
    Model ID
    Perception365/VehicleNet-Y26x

    Tags

    ultralyticsindian-trafficinference-efficiencymulti-vehicle-detectionobject-detectionendataset:iisc-aim/UVH-26base_model:Ultralytics/YOLO26base_model:finetune:Ultralytics/YOLO26license:agpl-3.0region:us

    Use VehicleNet-Y26x 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-Y26x 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.