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    Models/Object Detection/SeoJunn/univ_assignment_finetuning
    Object Detectiontransformers

    univ_assignment_finetuning

    by SeoJunn

    Identifier
    Model ID
    SeoJunn/univ_assignment_finetuning

    Tags

    transformerspytorchdetrobject-detectionendpoints_compatibleregion:us

    Use univ_assignment_finetuning 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, univ_assignment_finetuning 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.