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    Models/Depth Estimation/onnx-community/dpt-dinov2-small-kitti
    Depth Estimationtransformers.js

    dpt-dinov2-small-kitti

    by onnx-community

    Identifier
    Model ID
    onnx-community/dpt-dinov2-small-kitti

    Tags

    transformers.jsonnxdptdepth-estimationbase_model:facebook/dpt-dinov2-small-kittibase_model:quantized:facebook/dpt-dinov2-small-kittiregion:us

    Use dpt-dinov2-small-kitti on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, dpt-dinov2-small-kitti runs as a managed extractor inside a processing pipeline. Point a bucket of depth estimation 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.