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    Models/Object Detection/Anzhc/Anzhcs_YOLOs
    Object Detectionultralyticsagpl-3.0

    Anzhcs_YOLOs

    by Anzhc

    79Kdl/month
    176likes
    Identifier
    Model ID
    Anzhc/Anzhcs_YOLOs

    Tags

    ultralyticspytorchYOLOv8artUltralyticsobject-detectionbase_model:Ultralytics/YOLO11base_model:finetune:Ultralytics/YOLO11license:agpl-3.0region:us

    Use Anzhcs_YOLOs 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, Anzhcs_YOLOs 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.