sam2.1-hiera-large
by facebook
Unified promptable segmentation for images and video with streaming memory
facebook/sam2.1-hiera-largemixpeek://image_extractor@v1/facebook_sam2_large_v1Overview
SAM 2 extends SAM to video with a streaming memory architecture for real-time processing. It's 6x faster than SAM on images with better accuracy, and the first foundation model that segments and tracks objects across video frames with prompts.
On Mixpeek, SAM 2 enables video-native segmentation: track objects across frames, segment specific items at any point in a video, and extract per-object features over time.
Architecture
Hiera image encoder with streaming memory for temporal context. SAM 2.1 Large: 224.4M params, 39.5 FPS on A100. Memory attention modules propagate masks across frames without re-computing the full image encoder.
Mixpeek SDK Integration
// No extractor parameter takes a Hugging Face model id (checked against
// GET /v1/discovery/extractors, which returns 13), so sam2.1-hiera-large runs
// on your side and the output is upserted through POST
// /v1/namespaces/{namespace_id}/documents/upsert. On Enterprise the other
// path is to upload the weights instead: POST /v1/namespaces/{id}/models
// accepts the huggingface format and a custom plugin loads them.
const res = await fetch(
"https://api.mixpeek.com/v1/namespaces/ns_your_namespace/documents/upsert",
{
method: "POST",
headers: {
Authorization: "Bearer API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({
collection_id: "col_your_collection",
documents: [
{
document_id: "asset-00412",
// Boxes, masks, depth maps and anomaly scores are structured
// results, not vectors. They go in payload and are reachable
// through pre_filters on a retriever, not through similarity.
payload: {
detections: modelOutput,
source_key: "archive/2026/asset-00412",
},
},
],
}),
},
);
// No managed alternative for an open label set. Two extractors do emit a
// bbox, for the one thing each detects: document_graph_extractor@v1 per
// layout block, face_identity_extractor@v1 per face. Nothing ships that
// returns masks, depth maps or anomaly scores.Capabilities
- Video object segmentation and tracking
- 6x faster than SAM on images
- Streaming memory architecture for real-time video
- Multi-object tracking with mask propagation
- Image segmentation with improved accuracy
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| SA-V (video seg.) | J&F | 79.5 | Ravi et al., 2024: Table 1 |
| DAVIS 2017 (val) | J&F | 82.0 | Ravi et al., 2024: Table 2 |
Performance
Streaming architecture: processes video frames sequentially with memory
Common Pipeline Companions
Explore on Mixpeek
Compare alternatives in this category
Hand-picked tools & platforms compared
Deep-dive technical guide
See how Mixpeek runs models as extractors
Store & search embeddings at scale
Usage-based pricing for pipelines
Compare models, APIs & infrastructure
Specification
Research Paper
SAM 2: Segment Anything in Images and Videos
arxiv.orgBuild a pipeline with sam2.1-hiera-large
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
Run it on your own data, free