sam-vit-huge

by facebook

Promptable foundation model for image segmentation

3.2Mdl/month

632Mparams

HuggingFace Use in Pipeline

Identifiers

Model ID

facebook/sam-vit-huge

Feature URI

mixpeek://image_extractor@v1/facebook_sam_vit_huge_v1

Overview

SAM (Segment Anything Model) is Meta's foundation model for image segmentation. Given prompts like points, boxes, or text, it produces high-quality object masks. Trained on SA-1B — the largest segmentation dataset with 1 billion masks on 11M images.

On Mixpeek, SAM powers pixel-level object segmentation for precise content understanding, enabling mask-based filtering and region-specific feature extraction.

Architecture

ViT-H image encoder (632M params) with a lightweight mask decoder. Produces 256x256 low-res masks refined to full resolution. Supports multiple prompt types: points, boxes, and masks.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/image.jpg" },
  feature_extractors: [{
    name: "segmentation",
    version: "v1",
    params: { model_id: "facebook/sam-vit-huge" }
  }]
});