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    Models/Object Detection/projectsidewalk/rampnet-model

    rampnet-model

    by projectsidewalk

    Identifier
    Model ID
    projectsidewalk/rampnet-model

    Tags

    safetensorsconvnextv2curb ramp detectionaccessibilityobject-detectioncustom_codedataset:projectsidewalk/rampnet-datasetbase_model:timm/convnextv2_base.fcmae_ft_in22k_in1k_384base_model:finetune:timm/convnextv2_base.fcmae_ft_in22k_in1k_384license:mitregion:us

    Use rampnet-model 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, rampnet-model 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.