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CUSL-Jeremy/
segment-anything-2.1-onnx-models

Name: segment-anything-2.1-onnx-models
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Segment Anything 2.1 (SAM 2.1) — ONNX Models

ONNX-exported versions of Meta's Segment Anything Model 2.1 (SAM 2.1) — an improved version of SAM 2 with better accuracy and robustness — ready for CPU/GPU inference with ONNX Runtime.

These models are used by AnyLabeling for AI-assisted image annotation, and exported by samexporter.

Available Models

File	Variant	Notes
`sam2.1_hiera_tiny_20260221.zip`	SAM 2.1 Hiera-Tiny	Smallest, fastest
`sam2.1_hiera_small_20260221.zip`	SAM 2.1 Hiera-Small	Good balance
`sam2.1_hiera_base_plus_20260221.zip`	SAM 2.1 Hiera-Base+	Higher accuracy
`sam2.1_hiera_large_20260221.zip`	SAM 2.1 Hiera-Large	Most accurate

Each zip contains two ONNX files: an encoder (runs once per image) and a decoder (runs interactively for each prompt).

What's Improved vs SAM 2?

SAM 2.1 offers improved segmentation accuracy and better handling of edge cases compared to SAM 2. The ONNX conversion process is identical, and both use the same inference API.

Prompt Types

Point (+point / -point): click to include/exclude regions
Rectangle: draw a bounding box around the target object

Use with AnyLabeling (Recommended)

AnyLabeling is a desktop annotation tool with a built-in model manager that downloads, caches, and runs these models automatically — no coding required.

Install: pip install anylabeling
Launch: anylabeling
Click the Brain button → select a Segment Anything 2.1 model from the dropdown
Use point or rectangle prompts to segment objects

Use Programmatically with ONNX Runtime

python

import urllib.request, zipfile
url = "https://huggingface.co/vietanhdev/segment-anything-2.1-onnx-models/resolve/main/sam2.1_hiera_tiny_20260221.zip"
urllib.request.urlretrieve(url, "sam2.1_hiera_tiny.zip")
with zipfile.ZipFile("sam2.1_hiera_tiny.zip") as z:
    z.extractall("sam2.1_hiera_tiny")

Then use samexporter's inference module:

bash

pip install samexporter
python -m samexporter.inference \
    --encoder_model sam2.1_hiera_tiny/sam2.1_hiera_tiny.encoder.onnx \
    --decoder_model sam2.1_hiera_tiny/sam2.1_hiera_tiny.decoder.onnx \
    --image photo.jpg \
    --prompt prompt.json \
    --output result.png \
    --sam_variant sam2

Re-export from Source

To re-export or customize the models using samexporter: