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    Models/Spatial Understanding/depth-anything/DA3-LARGE-1.1
    HFDepth Estimationapache-2.0

    DA3-LARGE-1.1

    by depth-anything

    Depth Anything V3 Large checkpoint for spatial scene retrieval

    35Kdl/month
    11likes
    411Mparams
    Identifiers
    Model ID
    depth-anything/DA3-LARGE-1.1
    Feature URI
    mixpeek://image_extractor@v1/depth_anything_v3_large_v1

    Overview

    Depth Anything V3 Large is a newer monocular depth checkpoint for estimating dense depth maps from images. It improves the depth channel available to perception pipelines where spatial layout matters as much as semantic content.

    On Mixpeek, Depth Anything V3 Large can enrich images or video frames with depth-derived metadata such as foreground ratio, depth bands, relative distance, and scene layout. Agents can use those signals to find clips by spatial evidence before calling a heavier reasoning model.

    Architecture

    Depth estimation model from the Depth Anything V3 family. It produces dense per-pixel depth maps from single images and is exposed through the HuggingFace depth-estimation pipeline.

    Mixpeek SDK Integration

    import { Mixpeek } from "mixpeek";
    
    const mx = new Mixpeek({ apiKey: "API_KEY" });
    
    // Managed: create a collection over a bucket; Mixpeek runs this model's extractor
    const collection = await mx.collections.create({
      namespace_id: "my-namespace",
      collection_name: "my-collection",
      source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
      feature_extractor: {
        feature_extractor_name: "depth_estimation",
        version: "v1",
        parameters: { model_id: "depth-anything/DA3-LARGE-1.1" },
      },
    });

    Capabilities

    • Monocular dense depth estimation
    • Spatial metadata for image and video retrieval
    • Useful with segmentation and visual embeddings
    • Apache 2.0 license

    Use Cases on Mixpeek

    Find close-up shots, wide shots, or scenes with foreground objects
    Retrieve inspection images where an object is near the camera
    Add spatial constraints to agent video search
    Combine segmentation masks and depth for 3D-aware evidence extraction

    Specification

    FrameworkHF
    Organizationdepth-anything
    FeatureDepth Estimation
    Outputdepth map
    Modalitiesvideo, image
    RetrieverDepth Filter
    Parameters411M
    Licenseapache-2.0
    Downloads/mo35K
    Likes11

    Research Paper

    Depth Anything V3 Large 1.1

    arxiv.org

    Build a pipeline with DA3-LARGE-1.1

    Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.

    Run on your data, free