microsam-vit-t-lm-onnx

jax-image-tools/microsam-vit-t-lm-onnx

microsam-vit-t-lm-onnx is a image segmentation model from jax-image-tools. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as cc-by-4.0.

Promptable micro-sam vittlm (TinyViT encoder, via MobileSAM) exported to ONNX for client-side inference with onnxruntime-web + WebGPU, used by the JAX Image Tools viewer (jit-ui90) SAM segment tool. This is the

Downloads · 30 days

Access

Public

Updated Aug 26, 2026

Repo size

30.6 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.onnx30.6 MB · 100%

At a glance

Task: Image Segmentation
Library: onnxruntime
License: cc-by-4.0
Access: Public
Created: Aug 26, 2026
Updated: Aug 26, 2026
SHA: 93771e1c

Model card

From the Hugging Face model README

micro-sam ViT-T (light microscopy) — ONNX (browser/WebGPU)

Promptable micro-sam vit_t_lm (TinyViT encoder, via MobileSAM) exported to ONNX for client-side inference with onnxruntime-web + WebGPU, used by the JAX Image Tools viewer (jit-ui#90) SAM segment tool. This is the tiny sibling of microsam-vit-b-lm-onnx — ~12x smaller encoder, ideal for fast in-browser segmentation.

Two graphs (SAM v1 I/O):

file	in → out	run
`encoder.fp16.onnx` (fp16, ~14 MB)	image `(1,3,1024,1024)` fp32 → embedding `(1,256,64,64)` fp32	once per image
`decoder.onnx` (fp32, ~16 MB)	embedding + box/point prompts → mask (resized to orig size)	per prompt

Image preprocessing (resize long side → 1024, SAM normalize, pad) is done on the client; the encoder is pure tensor I/O. fp16 keeps fp32 I/O.
fp16 produced with onnxruntime.transformers.float16.
Box prompt = two points labelled 2/3; positive/negative points 1/0.

Export tooling: the sam-js project (export/export_sam_onnx.py --microsam vit_t_lm). Base model: micro-sam vit_t_lm (TinyViT / MobileSAM, Apache-2.0); underlying architecture Segment Anything (Apache-2.0). See micro-sam for model license.

Task: Image Segmentation
Library: onnxruntime
License: cc-by-4.0
Created: Aug 26, 2026
Updated: Aug 26, 2026