DA3-LARGE-1.1
by depth-anything
Depth Anything V3 Large checkpoint for spatial scene retrieval
depth-anything/DA3-LARGE-1.1mixpeek://image_extractor@v1/depth_anything_v3_large_v1Overview
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
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Specification
Research Paper
Depth Anything V3 Large 1.1
arxiv.orgBuild a pipeline with DA3-LARGE-1.1
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